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Oral
None
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
[
OpenReview]
Oral
None
On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
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OpenReview]
Oral
None
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
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OpenReview]
Oral
None
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
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OpenReview]
Oral
None
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs
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Slides]
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OpenReview]
Oral
None
ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters
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OpenReview]
Oral
None
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
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OpenReview]
Oral
None
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
[
OpenReview]
Oral
None
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation
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OpenReview]
Oral
None
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
[
OpenReview]
Oral
None
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
[
OpenReview]
Oral
None
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
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OpenReview]
Oral
None
A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries
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OpenReview]
Oral
None
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
[
OpenReview]
Oral
None
Almost linear time differentially private release of synthetic graphs
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Slides]
[
OpenReview]
Oral
None
Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty
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OpenReview]
Oral
None
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
[
OpenReview]
Poster
@ Hall A-E 164
Bayesian Principles Improve Prompt Learning In Vision-Language Models
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Slides]
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Poster]
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OpenReview]
Poster
@ Hall A-E 37
Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy
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Poster]
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OpenReview]
Poster
@ Hall A-E 69
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference
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OpenReview]
Poster
@ Hall A-E 49
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation
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Slides]
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OpenReview]
Poster
@ Hall A-E 97
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
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Poster]
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OpenReview]
Poster
@ Hall A-E 57
MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion
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OpenReview]
Poster
@ Hall A-E 14
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
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OpenReview]
Poster
@ Hall A-E 36
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
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OpenReview]
Poster
@ Hall A-E 92
Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs
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OpenReview]
Poster
@ Hall A-E 173
On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors
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OpenReview]
Poster
@ Hall A-E 174
SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search
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OpenReview]
Poster
@ Hall A-E 123
Hyperbolic Prototypical Entailment Cones for Image Classification
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OpenReview]
Poster
@ Hall A-E 102
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
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OpenReview]
Poster
@ Hall A-E 160
Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error
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OpenReview]
Poster
@ Hall A-E 198
Model-Based Causal Feature Selection for General Response Types
Poster
@ Hall A-E 87
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts
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Poster]
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OpenReview]
Poster
@ Hall A-E 192
Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
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OpenReview]
Poster
@ Hall A-E 9
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
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OpenReview]
Poster
@ Hall A-E 135
Sketch-and-Project Meets Newton Method: Global O(1/k^2) Convergence with Low-Rank Updates
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OpenReview]
Poster
@ Hall A-E 30
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics
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Slides]
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Poster]
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OpenReview]
Poster
@ Hall A-E 79
Change Point Detection in Hadamard Spaces by Alternating Minimization
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OpenReview]
Poster
@ Hall A-E 67
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
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OpenReview]
Poster
@ Hall A-E 193
Decomposing Global Feature Effects Based on Feature Interactions
Poster
@ Hall A-E 197
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Poster
@ Hall A-E 150
Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms
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OpenReview]
Poster
@ Hall A-E 195
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
Poster
@ Hall A-E 46
Adversarial Training in High-Dimensional Regression: Generated Data and Neural Networks
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OpenReview]
Poster
@ Hall A-E 137
Efficient Estimation of a Gaussian Mean with Local Differential Privacy
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OpenReview]
Poster
@ Hall A-E 138
On Preference-based Stochastic Linear Contextual Bandits with Knapsacks
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OpenReview]
Poster
@ Hall A-E 164
Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation
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Poster]
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OpenReview]
Poster
@ Hall A-E 58
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
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OpenReview]
Poster
@ Hall A-E 103
Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fr\'echet Median
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OpenReview]
Poster
@ Hall A-E 104
Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable
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OpenReview]
Poster
@ Hall A-E 105
Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
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OpenReview]
Poster
@ Hall A-E 95
Noisy Low-Rank Matrix Completion via Transformed $L_1$ Regularization and its Theoretical Properties
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OpenReview]
Poster
@ Hall A-E 107
When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?
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OpenReview]
Poster
@ Hall A-E 100
Do Regularization Methods for Shortcut Mitigation Work As Intended?
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OpenReview]
Poster
@ Hall A-E 108
Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis
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OpenReview]
Poster
@ Hall A-E 108
A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage
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OpenReview]
Poster
@ Hall A-E 110
Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints
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OpenReview]
Poster
@ Hall A-E 112
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
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OpenReview]
Poster
@ Hall A-E 106
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
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Poster]
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OpenReview]
Poster
@ Hall A-E 113
Variational Inference on the Boolean Hypercube with the Quantum Entropy
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OpenReview]
Poster
@ Hall A-E 115
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
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OpenReview]
Poster
@ Hall A-E 110
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
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OpenReview]
Poster
@ Hall A-E 120
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
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OpenReview]
Poster
@ Hall A-E 111
Your copula is a classifier in disguise: classification-based copula density estimation
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Poster]
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OpenReview]
Poster
@ Hall A-E 125
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments
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OpenReview]
Poster
@ Hall A-E 124
Domain Adaptation and Entanglement: an Optimal Transport Perspective
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OpenReview]
Poster
@ Hall A-E 114
Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
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OpenReview]
Poster
@ Hall A-E 124
Optimal downsampling for Imbalanced Classification with Generalized Linear Models
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OpenReview]
Poster
@ Hall A-E 127
Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models
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OpenReview]
Poster
@ Hall A-E 128
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
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OpenReview]
Poster
@ Hall A-E 124
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
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OpenReview]
Poster
@ Hall A-E 132
SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching
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OpenReview]
Poster
@ Hall A-E 127
Global Group Fairness in Federated Learning via Function Tracking
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OpenReview]
Poster
@ Hall A-E 134
Large Covariance Matrix Estimation With Nonnegative Correlations
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OpenReview]
Poster
@ Hall A-E 136
On Tractability of Learning Bayesian Networks with Ancestral Constraints
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OpenReview]
Poster
@ Hall A-E 139
Transfer Learning for High-dimensional Reduced Rank Time Series Models
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OpenReview]
Poster
@ Hall A-E 142
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
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OpenReview]
Poster
@ Hall A-E 148
Fixed-Budget Change Point Identification in Piecewise Constant Bandits
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OpenReview]
Poster
@ Hall A-E 140
On the Power of Multitask Representation Learning with Gradient Descent
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OpenReview]
Poster
@ Hall A-E 141
A Safe Exploration Approach to Constrained Markov Decision Processes
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Poster]
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OpenReview]
Poster
@ Hall A-E 147
Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem
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OpenReview]
Poster
@ Hall A-E 150
Randomized Iterative Solver as Iterative Refinement: A Simple Fix Towards Backward Stability
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OpenReview]
Poster
@ Hall A-E 145
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models
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OpenReview]
Poster
@ Hall A-E 149
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
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OpenReview]
Poster
@ Hall A-E 147
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
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OpenReview]
Poster
@ Hall A-E 18
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning
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OpenReview]
Poster
@ Hall A-E 156
Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents
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OpenReview]
Poster
@ Hall A-E 155
Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
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OpenReview]
Poster
@ Hall A-E 155
Out-of-distribution robustness for multivariate analysis via causal regularisation
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OpenReview]
Poster
@ Hall A-E 150
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
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OpenReview]
Poster
@ Hall A-E 155
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
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OpenReview]
Poster
@ Hall A-E 168
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
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OpenReview]
Poster
@ Hall A-E 162
Learning signals defined on graphs with optimal transport and Gaussian process regression
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OpenReview]
Poster
@ Hall A-E 12
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
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OpenReview]
Poster
@ Hall A-E 1
Pick-to-Learn and Self-Certified Gaussian Process Approximations
Poster
@ Hall A-E 12
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
Poster
@ Hall A-E 189
$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
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OpenReview]
Poster
@ Hall A-E 183
Conditional diffusions for amortized neural posterior estimation
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OpenReview]
Poster
@ Hall A-E 189
Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits
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Poster]
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OpenReview]
Poster
@ Hall A-E 161
A graphical global optimization framework for parameter estimation of statistical models with nonconvex regularization functions
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OpenReview]
Poster
@ Hall A-E 175
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
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OpenReview]
Poster
@ Hall A-E 165
Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations
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OpenReview]
Poster
@ Hall A-E 166
Minimum Empirical Divergence for Sub-Gaussian Linear Bandits
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Slides]
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OpenReview]
Poster
@ Hall A-E 19
Memory-Efficient Optimization with Factorized Hamiltonian Descent
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OpenReview]
Poster
@ Hall A-E 187
Bayesian Gaussian Process ODEs via Double Normalizing Flows
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Poster]
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OpenReview]
Poster
@ Hall A-E 72
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel–Young Loss Perspective and Gap-Dependent Regret Analysis
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OpenReview]
Poster
@ Hall A-E 98
Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs
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OpenReview]
Poster
@ Hall A-E 138
Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data
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Poster]
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OpenReview]
Poster
@ Hall A-E 121
On the Asymptotic Mean Square Error Optimality of Diffusion Models
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Poster]
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OpenReview]
Poster
@ Hall A-E 118
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
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OpenReview]
Poster
@ Hall A-E 34
Corruption Robust Offline Reinforcement Learning with Human Feedback
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Slides]
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OpenReview]
Poster
@ Hall A-E 118
Policy Teaching via Data Poisoning in Learning from Human Preferences
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Poster]
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OpenReview]
Poster
@ Hall A-E 120
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
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OpenReview]
Poster
@ Hall A-E 99
Nonparametric Distributional Regression via Quantile Regression
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Poster]
[
OpenReview]
Poster
@ Hall A-E 91
Information-Theoretic Measures on Lattices for Higher-Order Interactions
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Slides]
[
OpenReview]
Poster
@ Hall A-E 172
Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms
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OpenReview]
Poster
@ Hall A-E 134
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity
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Poster]
[
OpenReview]
Poster
@ Hall A-E 55
Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
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OpenReview]
Poster
@ Hall A-E 137
Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport
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OpenReview]
Poster
@ Hall A-E 68
Multi-agent Multi-armed Bandit Regret Complexity and Optimality
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Poster]
[
OpenReview]
Poster
@ Hall A-E 117
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent
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OpenReview]
Poster
@ Hall A-E 27
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
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Poster]
[
OpenReview]
Poster
@ Hall A-E 135
On adaptivity and minimax optimality of two-sided nearest neighbors
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OpenReview]
Poster
@ Hall A-E 133
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
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OpenReview]
Poster
@ Hall A-E 123
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching
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Poster]
[
OpenReview]
Poster
@ Hall A-E 55
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
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Slides]
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Poster]
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OpenReview]
Poster
@ Hall A-E 195
Variational Adversarial Training Towards Policies with Improved Robustness
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OpenReview]
Poster
@ Hall A-E 22
Global Ground Metric Learning with Applications to scRNA data
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Slides]
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Poster]
[
OpenReview]
Poster
@ Hall A-E 143
Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo
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OpenReview]
Poster
@ Hall A-E 11
Multi-marginal Schrödinger Bridges with Iterative Reference Refinement
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Poster]
[
OpenReview]
Poster
@ Hall A-E 96
Robust Classification by Coupling Data Mollification with Label Smoothing
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OpenReview]
Poster
@ Hall A-E 4
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
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OpenReview]
Poster
@ Hall A-E 177
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
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OpenReview]
Poster
@ Hall A-E 120
Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression
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OpenReview]
Poster
@ Hall A-E 75
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
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Poster]
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OpenReview]
Poster
@ Hall A-E 163
Transformers are Provably Optimal In-context Estimators for Wireless Communications
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Slides]
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Poster]
[
OpenReview]
Poster
@ Hall A-E 144
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
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OpenReview]
Poster
@ Hall A-E 13
Max-Rank: Efficient Multiple Testing for Conformal Prediction
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Poster]
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OpenReview]
Poster
@ Hall A-E 59
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
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Poster]
[
OpenReview]
Poster
@ Hall A-E 188
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
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OpenReview]
Poster
@ Hall A-E 186
Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport
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OpenReview]
Poster
@ Hall A-E 163
Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs
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OpenReview]
Poster
@ Hall A-E 130
LITE: Efficiently Estimating Gaussian Probability of Maximality
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Slides]
[
OpenReview]
Poster
@ Hall A-E 140
On the Relationship Between Robustness and Expressivity of Graph Neural Networks
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OpenReview]
Poster
@ Hall A-E 10
Almost linear time differentially private release of synthetic graphs
[
OpenReview]
Poster
@ Hall A-E 159
Active Feature Acquisition for Personalised Treatment Assignment
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OpenReview]
Poster
@ Hall A-E 143
Stein Boltzmann Sampling: A Variational Approach for Global Optimization
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Slides]
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OpenReview]
Poster
@ Hall A-E 119
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion
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OpenReview]
Poster
@ Hall A-E 190
Cross Validation for Correlated Data in Classification Models
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Poster]
[
OpenReview]
Poster
@ Hall A-E 158
Deep Clustering via Probabilistic Ratio-Cut Optimization
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Slides]
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OpenReview]
Poster
@ Hall A-E 50
Differentially Private Continual Release of Histograms and Related Queries
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Poster]
[
OpenReview]
Poster
@ Hall A-E 184
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging
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Poster]
[
OpenReview]
Poster
@ Hall A-E 151
Partial Information Decomposition for Data Interpretability and Feature Selection
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OpenReview]
Poster
@ Hall A-E 107
Distribution-Aware Mean Estimation under User-level Local Differential Privacy
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OpenReview]
Poster
@ Hall A-E 64
QuACK: A Multipurpose Queuing Algorithm for Cooperative $k$-Armed Bandits
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OpenReview]
Poster
@ Hall A-E 86
Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent
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Slides]
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Poster]
[
OpenReview]
Poster
@ Hall A-E 119
Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression
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OpenReview]
Poster
@ Hall A-E 10
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
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OpenReview]
Poster
@ Hall A-E 149
LMEraser: Large Model Unlearning via Adaptive Prompt Tuning
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Poster]
[
OpenReview]
Poster
@ Hall A-E 182
Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span
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OpenReview]
Poster
@ Hall A-E 117
Kernel Single Proxy Control for Deterministic Confounding
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Slides]
[
OpenReview]
Poster
@ Hall A-E 141
Data Reconstruction Attacks and Defenses: A Systematic Evaluation
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Poster]
[
OpenReview]
Poster
@ Hall A-E 56
Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy
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OpenReview]
Poster
@ Hall A-E 89
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
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Poster]
[
OpenReview]
Poster
@ Hall A-E 127
Time-series attribution maps with regularized contrastive learning
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OpenReview]
Poster
@ Hall A-E 188
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
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OpenReview]
Poster
@ Hall A-E 122
Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
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OpenReview]
Poster
@ Hall A-E 29
SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings
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OpenReview]
Poster
@ Hall A-E 195
Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition
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OpenReview]
Poster
@ Hall A-E 37
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
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Poster]
[
OpenReview]
Poster
@ Hall A-E 148
High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise
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Poster]
[
OpenReview]
Poster
@ Hall A-E 156
Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength
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Slides]
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Poster]
[
OpenReview]
Poster
@ Hall A-E 89
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
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OpenReview]
Poster
@ Hall A-E 1
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
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Poster]
[
OpenReview]
Poster
@ Hall A-E 8
Integer Programming Based Methods and Heuristics for Causal Graph Learning
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OpenReview]
Poster
@ Hall A-E 178
TempTest: Local Normalization Distortion and the Detection of Machine-generated Text
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OpenReview]
Poster
@ Hall A-E 25
Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization
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OpenReview]
Poster
@ Hall A-E 85
HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search
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OpenReview]
Poster
@ Hall A-E 184
$\mathcal{I}$-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers
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Poster]
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OpenReview]
Poster
@ Hall A-E 158
When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings
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Poster]
[
OpenReview]
Poster
@ Hall A-E 178
Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States
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OpenReview]
Poster
@ Hall A-E 61
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
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Slides]
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OpenReview]
Poster
@ Hall A-E 76
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
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Poster]
[
OpenReview]
Poster
@ Hall A-E 99
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
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OpenReview]
Poster
@ Hall A-E 69
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
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OpenReview]
Poster
@ Hall A-E 182
Ordered $\mathcal{V}$-information Growth: A Fresh Perspective on Shared Information
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Poster]
[
OpenReview]
Poster
@ Hall A-E 167
MING: A Functional Approach to Learning Molecular Generative Models
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OpenReview]
Poster
@ Hall A-E 85
Knowledge Graph Completion with Mixed Geometry Tensor Factorization
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OpenReview]
Poster
@ Hall A-E 48
The Strong Product Model for Network Inference without Independence Assumptions
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OpenReview]
Poster
@ Hall A-E 125
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
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OpenReview]
Poster
@ Hall A-E 81
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
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Poster]
[
OpenReview]
Poster
@ Hall A-E 126
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context
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OpenReview]
Poster
@ Hall A-E 80
Online-to-PAC generalization bounds under graph-mixing dependencies
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OpenReview]
Poster
@ Hall A-E 42
Unbiased Quantization of the $L_1$ Ball for Communication-Efficient Distributed Mean Estimation
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OpenReview]
Poster
@ Hall A-E 24
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
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OpenReview]
Poster
@ Hall A-E 28
On the Inherent Privacy of Zeroth-Order Projected Gradient Descent
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OpenReview]
Poster
@ Hall A-E 152
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
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OpenReview]
Poster
@ Hall A-E 52
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
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Poster]
[
OpenReview]
Poster
@ Hall A-E 90
The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers
[
OpenReview]
Poster
@ Hall A-E 69
Online Assortment and Price Optimization Under Contextual Choice Models
[
OpenReview]
Poster
@ Hall A-E 157
Parameter estimation in state space models using particle importance sampling
[
OpenReview]
Poster
@ Hall A-E 96
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 71
High Dimensional Bayesian Optimization using Lasso Variable Selection
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 39
Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization
[
OpenReview]
Poster
@ Hall A-E 112
Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 31
Cross-Modal Imputation and Uncertainty Estimation for Spatial Transcriptomics
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 102
Infinite-dimensional Diffusion Bridge Simulation via Operator Learning
[
OpenReview]
Poster
@ Hall A-E 13
Distributional Counterfactual Explanations With Optimal Transport
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 8
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation
[
OpenReview]
Poster
@ Hall A-E 141
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
[
OpenReview]
Poster
@ Hall A-E 30
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
[
OpenReview]
Poster
@ Hall A-E 168
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control
[
OpenReview]
Poster
@ Hall A-E 154
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
[
OpenReview]
Poster
@ Hall A-E 180
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
[
OpenReview]
Poster
@ Hall A-E 51
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
[
OpenReview]
Poster
@ Hall A-E 166
Computing high-dimensional optimal transport by flow neural networks
[
OpenReview]
Poster
@ Hall A-E 129
Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression
[
OpenReview]
Poster
@ Hall A-E 144
Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs
[
OpenReview]
Poster
@ Hall A-E 175
FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 169
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model
[
OpenReview]
Poster
@ Hall A-E 116
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
[
OpenReview]
Poster
@ Hall A-E 60
AxlePro: Momentum-Accelerated Batched Training of Kernel Machines
[
OpenReview]
Poster
@ Hall A-E 76
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators
[
OpenReview]
Poster
@ Hall A-E 163
Decoupling epistemic and aleatoric uncertainties with possibility theory
[
Slides]
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 27
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 45
Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity
[
Slides]
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 171
Learning the Distribution Map in Reverse Causal Performative Prediction
[
OpenReview]
Poster
@ Hall A-E 3
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 174
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
[
OpenReview]
Poster
@ Hall A-E 33
A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 20
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
[
OpenReview]
Poster
@ Hall A-E 143
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
[
OpenReview]
Poster
@ Hall A-E 193
Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs
[
OpenReview]
Poster
@ Hall A-E 73
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data
[
OpenReview]
Poster
@ Hall A-E 101
Differentially private algorithms for linear queries via stochastic convex optimization
[
OpenReview]
Poster
@ Hall A-E 20
Zero-Shot Action Generalization with Limited Observations
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 111
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
[
OpenReview]
Poster
@ Hall A-E 62
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
[
OpenReview]
Poster
@ Hall A-E 153
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 157
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
[
OpenReview]
Poster
@ Hall A-E 33
Consistent Validation for Predictive Methods in Spatial Settings
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 153
Scalable spectral representations for multiagent reinforcement learning in network MDPs
[
OpenReview]
Poster
@ Hall A-E 98
Towards a mathematical theory for consistency training in diffusion models
[
OpenReview]
Poster
@ Hall A-E 86
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 41
Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 142
Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
[
OpenReview]
Poster
@ Hall A-E 112
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
[
OpenReview]
Poster
@ Hall A-E 191
Quantifying Knowledge Distillation using Partial Information Decomposition
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 34
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
[
OpenReview]
Poster
@ Hall A-E 183
A Multi-Task Learning Approach to Linear Multivariate Forecasting
[
OpenReview]
Poster
@ Hall A-E 128
A Computation-Efficient Method of Measuring Dataset Quality based on the Coverage of the Dataset
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 138
Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders
[
OpenReview]
Poster
@ Hall A-E 173
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
[
OpenReview]
Poster
@ Hall A-E 110
Common Learning Constraints Alter Interpretations of Direct Preference Optimization
[
OpenReview]
Poster
@ Hall A-E 114
Analyzing Generative Models by Manifold Entropic Metrics
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 179
A Subquadratic Time Approximation Algorithm for Individually Fair k-Center
[
OpenReview]
Poster
@ Hall A-E 187
Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization
[
OpenReview]
Poster
@ Hall A-E 102
StableMDS: A Novel Gradient Descent-Based Method for Stabilizing and Accelerating Weighted Multidimensional Scaling
[
Slides]
[
OpenReview]
Poster
@ Hall A-E 185
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds
[
OpenReview]
Poster
@ Hall A-E 109
Distributional Off-policy Evaluation with Bellman Residual Minimization
[
OpenReview]
Poster
@ Hall A-E 175
Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields
[
OpenReview]
Poster
@ Hall A-E 164
All models are wrong, some are useful: Model Selection with Limited Labels
[
OpenReview]
Poster
@ Hall A-E 22
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
[
OpenReview]
Poster
@ Hall A-E 56
A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models
[
OpenReview]
Poster
@ Hall A-E 135
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
[
OpenReview]
Poster
@ Hall A-E 91
Dissecting the Impact of Model Misspecification in Data-Driven Optimization
[
OpenReview]
Poster
@ Hall A-E 131
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
[
OpenReview]
Poster
@ Hall A-E 145
Application of Structured State Space Models to High energy physics with locality sensitive hashing
[
OpenReview]
Poster
@ Hall A-E 6
Learning from biased positive-unlabeled data via threshold calibration
[
OpenReview]
Poster
@ Hall A-E 126
Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
[
OpenReview]
Poster
@ Hall A-E 39
Differentially Private Range Queries with Correlated Input Perturbation
[
OpenReview]
Poster
@ Hall A-E 131
On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
[
OpenReview]
Poster
@ Hall A-E 46
Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold
[
OpenReview]
Poster
@ Hall A-E 61
A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
[
OpenReview]
Poster
@ Hall A-E 35
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 73
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
[
OpenReview]
Poster
@ Hall A-E 16
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
[
OpenReview]
Poster
@ Hall A-E 38
Q-function Decomposition with Intervention Semantics for Factored Action Spaces
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 185
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression
[
OpenReview]
Poster
@ Hall A-E 54
The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws
[
OpenReview]
Poster
@ Hall A-E 131
Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 30
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
[
OpenReview]
Poster
@ Hall A-E 193
Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds
[
OpenReview]
Poster
@ Hall A-E 34
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data
[
Slides]
[
OpenReview]
Poster
@ Hall A-E 108
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation
[
OpenReview]
Poster
@ Hall A-E 128
Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 11
Certifiably Quantisation-Robust training and inference of Neural Networks
[
Slides]
[
OpenReview]
Poster
@ Hall A-E 93
A Shapley-value Guided Rationale Editor for Rationale Learning
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 88
Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible?
[
OpenReview]
Poster
@ Hall A-E 118
All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling
[
OpenReview]
Poster
@ Hall A-E 19
Reliable and Scalable Variable Importance Estimation via Warm-start and Early Stopping
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 32
$q\texttt{POTS}$: Efficient Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling
[
Slides]
[
OpenReview]
Poster
@ Hall A-E 74
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
[
OpenReview]
Poster
@ Hall A-E 80
Unconditionally Calibrated Priors for Beta Mixture Density Networks
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 52
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
[
OpenReview]
Poster
@ Hall A-E 178
Spectral Differential Network Analysis for High-Dimensional Time Series
[
OpenReview]
Poster
@ Hall A-E 129
Theory of Agreement-on-the-Line in Linear Models and Gaussian Data
[
OpenReview]
Poster
@ Hall A-E 146
Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives
[
Slides]
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 48
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
[
Slides]
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 15
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
[
Slides]
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 181
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
[
OpenReview]
Poster
@ Hall A-E 86
Leveraging Frozen Batch Normalization for Co-Training in Source-Free Domain Adaptation
[
OpenReview]
Poster
@ Hall A-E 42
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI
[
OpenReview]
Poster
@ Hall A-E 169
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
[
OpenReview]
Poster
@ Hall A-E 24
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
[
OpenReview]
Poster
@ Hall A-E 103
Density Ratio-based Proxy Causal Learning Without Density Ratios
[
OpenReview]
Poster
@ Hall A-E 83
Conditioning diffusion models by explicit forward-backward bridging
[
OpenReview]
Poster
@ Hall A-E 133
Understanding the Effect of GCN Convolutions in Regression Tasks
[
OpenReview]
Poster
@ Hall A-E 59
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning
[
OpenReview]
Poster
@ Hall A-E 70
Learning Pareto manifolds in high dimensions: How can regularization help?
[
OpenReview]
Poster
@ Hall A-E 146
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints
[
OpenReview]
Poster
@ Hall A-E 183
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
[
OpenReview]
Poster
@ Hall A-E 72
Spectral Representation for Causal Estimation with Hidden Confounders
[
OpenReview]
Poster
@ Hall A-E 161
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 165
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
[
OpenReview]
Poster
@ Hall A-E 36
Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 179
Optimal Stochastic Trace Estimation in Generative Modeling
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 190
Elastic Representation: Mitigating Spurious Correlations for Group Robustness
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 81
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
[
OpenReview]
Poster
@ Hall A-E 177
Learning Laplacian Positional Encodings for Heterophilous Graphs
[
Slides]
[
OpenReview]
Poster
@ Hall A-E 172
Personalized Convolutional Dictionary Learning of Physiological Time Series
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 159
Optimal estimation of linear non-Gaussian structure equation models
[
Slides]
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 181
Factor Analysis with Correlated Topic Model for Multi-Modal Data
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 192
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners
[
OpenReview]
Poster
@ Hall A-E 2
Entropic Matching for Expectation Propagation of Markov Jump Processes
[
OpenReview]
Poster
@ Hall A-E 2
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
[
OpenReview]
Poster
@ Hall A-E 6
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
[
OpenReview]
Poster
@ Hall A-E 5
ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters
[
OpenReview]
Poster
@ Hall A-E 8
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 7
On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
[
OpenReview]
Poster
@ Hall A-E 10
Additive Model Boosting: New Insights and Path(ologie)s
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 7
Implicit Diffusion: Efficient optimization through stochastic sampling
[
OpenReview]
Poster
@ Hall A-E 16
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
[
OpenReview]
Poster
@ Hall A-E 13
A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries
[
OpenReview]
Poster
@ Hall A-E 17
Offline Multi-task Transfer RL with Representational Penalization
[
OpenReview]
Poster
@ Hall A-E 15
To Give or Not to Give? The Impacts of Strategically Withheld Recourse
[
OpenReview]
Poster
@ Hall A-E 11
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
[
OpenReview]
Poster
@ Hall A-E 17
The Local Learning Coefficient: A Singularity-Aware Complexity Measure
[
OpenReview]
Poster
@ Hall A-E 14
Continuous Structure Constraint Integration for Robust Causal Discovery
[
OpenReview]
Poster
@ Hall A-E 18
Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition
[
OpenReview]
Poster
@ Hall A-E 21
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
[
OpenReview]
Poster
@ Hall A-E 21
Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization
[
OpenReview]
Poster
@ Hall A-E 23
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
[
OpenReview]
Poster
@ Hall A-E 25
Causal Discovery-Driven Change Point Detection in Time Series
[
Slides]
[
OpenReview]
Poster
@ Hall A-E 23
Truncated Inverse-Lévy Measure Representation of the Beta Process
[
OpenReview]
Poster
@ Hall A-E 26
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
[
OpenReview]
Poster
@ Hall A-E 27
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
[
OpenReview]
Poster
@ Hall A-E 29
Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks
[
OpenReview]
Poster
@ Hall A-E 43
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
[
OpenReview]
Poster
@ Hall A-E 37
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
[
OpenReview]
Poster
@ Hall A-E 44
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits
[
OpenReview]
Poster
@ Hall A-E 39
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
[
OpenReview]
Poster
@ Hall A-E 38
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization
[
OpenReview]
Poster
@ Hall A-E 43
Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels
[
OpenReview]
Poster
@ Hall A-E 49
Performative Reinforcement Learning with Linear Markov Decision Process
[
OpenReview]
Poster
@ Hall A-E 50
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
[
OpenReview]
Poster
@ Hall A-E 50
Statistical Test for Auto Feature Engineering by Selective Inference
[
OpenReview]
Poster
@ Hall A-E 53
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
[
OpenReview]
Poster
@ Hall A-E 51
Disentangling Interactions and Dependencies in Feature Attributions
[
OpenReview]
Poster
@ Hall A-E 44
Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 57
Robust Offline Policy Learning with Observational Data from Multiple Sources
[
OpenReview]
Poster
@ Hall A-E 48
Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 58
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
[
OpenReview]
Poster
@ Hall A-E 49
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 59
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
[
OpenReview]
Poster
@ Hall A-E 63
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
[
OpenReview]
Poster
@ Hall A-E 51
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
[
OpenReview]
Poster
@ Hall A-E 65
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 66
On the Geometry and Optimization of Polynomial Convolutional Networks
[
OpenReview]
Poster
@ Hall A-E 68
Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization
[
OpenReview]
Poster
@ Hall A-E 70
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
[
OpenReview]
Poster
@ Hall A-E 62
Near-optimal algorithms for private estimation and sequential testing of collision probability
[
OpenReview]
Poster
@ Hall A-E 71
InnerThoughts: Disentangling Representations and Predictions in Large Language Models
[
OpenReview]
Poster
@ Hall A-E 65
Variance-Dependent Regret Bounds for Nonstationary Linear Bandits
[
OpenReview]
Poster
@ Hall A-E 67
No-Regret Bayesian Optimization with Stochastic Observation Failures
[
OpenReview]
Poster
@ Hall A-E 71
Provable Benefits of Task-Specific Prompts for In-context Learning
[
OpenReview]
Poster
@ Hall A-E 72
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
[
OpenReview]
Poster
@ Hall A-E 78
Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions
[
OpenReview]
Poster
@ Hall A-E 74
Privacy in Metalearning and Multitask Learning: Modeling and Separations
[
OpenReview]
Poster
@ Hall A-E 77
Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
[
OpenReview]
Poster
@ Hall A-E 80
The Hardness of Validating Observational Studies with Experimental Data
[
OpenReview]
Poster
@ Hall A-E 84
Online Student-$t$ Processes with an Overall-local Scale Structure for Modelling Non-stationary Data
[
OpenReview]
Poster
@ Hall A-E 90
Generalization Bounds for Dependent Data using Online-to-Batch Conversion.
[
OpenReview]
Poster
@ Hall A-E 91
Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion
[
OpenReview]
Poster
@ Hall A-E 93
Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems
[
OpenReview]
Poster
@ Hall A-E 97
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes
[
OpenReview]
Poster
@ Hall A-E 87
AlleNoise - large-scale text classification benchmark dataset with real-world label noise
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 100
Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals
[
OpenReview]
Poster
@ Hall A-E 93
Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem
[
OpenReview]
Poster
@ Hall A-E 95
Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations
[
OpenReview]
Poster
@ Hall A-E 101
Rethinking Neural-based Matrix Inversion: Why can't, and Where can
[
OpenReview]
Poster
@ Hall A-E 99
HAR-former: Hybrid Transformer with an Adaptive Time-Frequency Representation Matrix for Long-Term Series Forecasting
[
OpenReview]
Registration Desk
Fri May 02 01:00 AM -- 03:00 AM (PDT) @ Foyer None
Registration Desk
Registration Desk
Fri May 02 05:30 PM -- 02:00 AM (PDT) @ Foyer None
Registration Desk
Opening Remarks
Fri May 02 06:30 PM -- 07:00 PM (PDT) @ Hall A-E None
Opening Remarks
Invited Talk
Fri May 02 07:00 PM -- 08:00 PM (PDT) @ Hall A-E None
The predictive nature of Bayesian inference
Break
Fri May 02 08:00 PM -- 08:30 PM (PDT) None
Coffee Break
Oral
Fri May 02 08:30 PM -- 09:30 PM (PDT) @ Hall A-E None
Oral Session 1: Deep Learning and Learning Theory
Panel
Fri May 02 09:30 PM -- 10:30 PM (PDT) @ Hall A-E None
Panel: What Can AI Do for Statistics & What Can Statistics Do for AI?
Break
Fri May 02 10:30 PM -- 12:00 AM (PDT) @ VIP Room (Level 2 Convention Center) None
Lunch + Mentorship Tables
Oral
Sat May 03 12:00 AM -- 01:00 AM (PDT) @ Hall A-E None
Oral Session 2: Distribution Learning and Causality
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 176
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 184
Causal Representation Learning from General Environments under Nonparametric Mixing
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 201
Harnessing Causality in Reinforcement Learning with Bagged Decision Times
[
Slides]
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 199
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks
[
Poster]
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 204
Lower Bounds for Time-Varying Kernelized Bandits
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 67
Nonparametric Factor Analysis and Beyond
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 203
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 200
On the Sample Complexity of Next-Token Prediction
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 202
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts
[
Poster]
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 83
Semiparametric conformal prediction
[
Slides]
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 5
Learning the Pareto Front Using Bootstrapped Observation Samples
[
Slides]
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 123
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
[
Slides]
[
Poster]
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 66
Computation-Aware Kalman Filtering and Smoothing
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 205
Approximate Equivariance in Reinforcement Learning
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 82
Achieving $\widetilde{\mathcal{O}}(\sqrt{T})$ Regret in Average-Reward POMDPs with Known Observation Models
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 32
Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization
[
Slides]
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 75
Understanding GNNs and Homophily in Dynamic Node Classification
[
Slides]
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 73
Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 43
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 126
Training LLMs with MXFP4
[
Slides]
[
OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 133
Stochastic Rounding for LLM Training: Theory and Practice
[
Slides]
[
OpenReview]
Poster Session
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E None
Poster Session 1
Reception
Sat May 03 04:00 AM -- 06:00 AM (PDT) @ Sunset Breeze Restaurant (Splash Beach Resort Restaurant near the beach) None
Opening Reception
Registration Desk
Sat May 03 06:30 PM -- 02:00 AM (PDT) @ Foyer None
Registration Desk
Invited Talk
Sat May 03 07:00 PM -- 08:00 PM (PDT) @ Hall A-E None
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning
Break
Sat May 03 08:00 PM -- 08:30 PM (PDT) None
Coffee Break
Oral
Sat May 03 08:30 PM -- 09:30 PM (PDT) @ Hall A-E None
Oral Session 3: Optimization
Awards
Sat May 03 09:30 PM -- 10:30 PM (PDT) @ Hall A-E None
Paper Awards Talks
Break
Sat May 03 10:30 PM -- 12:00 AM (PDT) @ VIP Room (Level 2 Convention Center) None
Lunch + Mentorship Tables
Oral
Sun May 04 12:00 AM -- 01:00 AM (PDT) @ Hall A-E None
Oral Session 4: Privacy and Games
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 197
Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET)
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 206
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 203
Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies
[
Poster]
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 202
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 198
Differentially Private Graph Data Release: Inefficiencies & Unfairness
[
Poster]
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 204
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 199
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
[
Slides]
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 180
General Staircase Mechanisms for Optimal Differential Privacy
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 6
Model selection for behavioral learning data and applications to contextual bandits
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 205
Cost-aware simulation-based inference
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 200
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
[
Slides]
[
Poster]
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 53
Score matching for bridges without learning time-reversals
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 45
Sparse Activations as Conformal Predictors
[
Slides]
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 170
Fundamental computational limits of weak learnability in high-dimensional multi-index models
[
Slides]
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 201
The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 3
Bandit Pareto Set Identification in a Multi-Output Linear Model
[
Slides]
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 79
Batch, match, and patch: low-rank approximations for score-based variational inference
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 169
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 57
Differentiable Causal Structure Learning with Identifiability by NOTIME
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 15
Bayesian Circular Regression with von Mises Quasi-Processes
[
OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 88
The Sample Complexity of Stackelberg Games
[
OpenReview]
Poster Session
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E None
Poster Session 2
Registration Desk
Sun May 04 06:30 PM -- 01:00 AM (PDT) @ Foyer None
Registration Desk
Invited Talk
Sun May 04 07:00 PM -- 08:00 PM (PDT) @ Hall A-E None
Understanding Inference Time Compute: Self-Improvement and Scaling
Break
Sun May 04 08:00 PM -- 08:30 PM (PDT) None
Coffee Break
Oral
Sun May 04 08:30 PM -- 09:30 PM (PDT) @ Hall A-E None
Oral Session 5: Probabilistic Inference and Optimzation
Oral
Sun May 04 09:30 PM -- 10:30 PM (PDT) @ Hall A-E None
Oral Session 6: RL and Dynamical Systems
Break
Sun May 04 10:30 PM -- 12:00 AM (PDT) @ VIP Room (Level 2 Convention Center) None
Lunch + Mentorship Tables
Oral
Mon May 05 12:00 AM -- 01:00 AM (PDT) @ Hall A-E None
Oral Session 7: Robust Learning
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 63
Evaluating Prediction-based Interventions with Human Decision Makers In Mind
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 9
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 82
Efficient Optimization Algorithms for Linear Adversarial Training
[
Poster]
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 97
Optimal Multi-Objective Best Arm Identification with Fixed Confidence
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 47
Robust Kernel Hypothesis Testing under Data Corruption
[
Slides]
[
Poster]
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 60
Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 31
Evidential Uncertainty Probes for Graph Neural Networks
[
Poster]
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 42
Task Shift: From Classification to Regression in Overparameterized Linear Models
[
Poster]
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 94
On the Consistent Recovery of Joint Distributions from Conditionals
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 96
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 24
Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem
[
Poster]
[
OpenReview]
Poster
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 23
Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
[
Poster]
[
OpenReview]
Poster Session
Mon May 05 01:00 AM -- 04:00 AM (PDT) @ Hall A-E None
Poster Session 3
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