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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
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OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 83
Semiparametric conformal prediction
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Slides]
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OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 66
Computation-Aware Kalman Filtering and Smoothing
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OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 126
Training LLMs with MXFP4
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Slides]
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OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 75
Understanding GNNs and Homophily in Dynamic Node Classification
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Slides]
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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
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OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 133
Stochastic Rounding for LLM Training: Theory and Practice
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Slides]
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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
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OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 5
Learning the Pareto Front Using Bootstrapped Observation Samples
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Slides]
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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
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Slides]
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Poster]
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OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 205
Approximate Equivariance in Reinforcement Learning
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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
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Slides]
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OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 200
On the Sample Complexity of Next-Token Prediction
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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
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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
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Slides]
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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
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OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 204
Lower Bounds for Time-Varying Kernelized Bandits
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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
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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
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Poster]
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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
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Poster]
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OpenReview]
Poster
Sat May 03 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 67
Nonparametric Factor Analysis and Beyond
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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 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 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 91
Information-Theoretic Measures on Lattices for Higher-Order Interactions
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Slides]
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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]
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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]
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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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Poster]
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OpenReview]
Poster
@ Hall A-E 11
Multi-marginal Schrödinger Bridges with Iterative Reference Refinement
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Poster]
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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 163
Transformers are Provably Optimal In-context Estimators for Wireless Communications
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Slides]
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Poster]
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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 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 10
Almost linear time differentially private release of synthetic graphs
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OpenReview]
Poster
@ Hall A-E 158
Deep Clustering via Probabilistic Ratio-Cut Optimization
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OpenReview]
Poster
@ Hall A-E 50
Differentially Private Continual Release of Histograms and Related Queries
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Poster]
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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 149
LMEraser: Large Model Unlearning via Adaptive Prompt Tuning
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Poster]
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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 56
Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy
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OpenReview]
Poster
@ Hall A-E 127
Time-series attribution maps with regularized contrastive learning
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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]
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OpenReview]
Poster
@ Hall A-E 156
Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength
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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 178
TempTest: Local Normalization Distortion and the Detection of Machine-generated Text
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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 125
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
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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 152
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
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OpenReview]
Poster
@ Hall A-E 90
The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers
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OpenReview]
Poster
@ Hall A-E 69
Online Assortment and Price Optimization Under Contextual Choice Models
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OpenReview]
Poster
@ Hall A-E 96
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
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Poster]
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OpenReview]
Poster
@ Hall A-E 39
Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization
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OpenReview]
Poster
@ Hall A-E 31
Cross-Modal Imputation and Uncertainty Estimation for Spatial Transcriptomics
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Poster]
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OpenReview]
Poster
@ Hall A-E 102
Infinite-dimensional Diffusion Bridge Simulation via Operator Learning
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OpenReview]
Poster
@ Hall A-E 13
Distributional Counterfactual Explanations With Optimal Transport
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Poster]
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OpenReview]
Poster
@ Hall A-E 141
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
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OpenReview]
Poster
@ Hall A-E 168
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control
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OpenReview]
Poster
@ Hall A-E 154
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
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OpenReview]
Poster
@ Hall A-E 180
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
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OpenReview]
Poster
@ Hall A-E 175
FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits
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Poster]
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OpenReview]
Poster
@ Hall A-E 169
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model
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OpenReview]
Poster
@ Hall A-E 116
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
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OpenReview]
Poster
@ Hall A-E 76
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators
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OpenReview]
Poster
@ Hall A-E 171
Learning the Distribution Map in Reverse Causal Performative Prediction
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OpenReview]
Poster
@ Hall A-E 3
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
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Poster]
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OpenReview]
Poster
@ Hall A-E 143
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
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OpenReview]
Poster
@ Hall A-E 101
Differentially private algorithms for linear queries via stochastic convex optimization
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OpenReview]
Poster
@ Hall A-E 111
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
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OpenReview]
Poster
@ Hall A-E 153
Scalable spectral representations for multiagent reinforcement learning in network MDPs
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OpenReview]
Poster
@ Hall A-E 86
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
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OpenReview]
Poster
@ Hall A-E 183
A Multi-Task Learning Approach to Linear Multivariate Forecasting
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OpenReview]
Poster
@ Hall A-E 110
Common Learning Constraints Alter Interpretations of Direct Preference Optimization
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OpenReview]
Poster
@ Hall A-E 131
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
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OpenReview]
Poster
@ Hall A-E 145
Application of Structured State Space Models to High energy physics with locality sensitive hashing
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OpenReview]
Poster
@ Hall A-E 61
A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
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OpenReview]
Poster
@ Hall A-E 54
The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws
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OpenReview]
Poster
@ Hall A-E 30
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
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OpenReview]
Poster
@ Hall A-E 193
Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds
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OpenReview]
Poster
@ Hall A-E 34
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data
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OpenReview]
Poster
@ Hall A-E 88
Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible?
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OpenReview]
Poster
@ Hall A-E 118
All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling
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OpenReview]
Poster
@ Hall A-E 52
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
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OpenReview]
Poster
@ Hall A-E 146
Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives
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OpenReview]
Poster
@ Hall A-E 15
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
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OpenReview]
Poster
@ Hall A-E 181
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
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OpenReview]
Poster
@ Hall A-E 24
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
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OpenReview]
Poster
@ Hall A-E 59
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning
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OpenReview]
Poster
@ Hall A-E 72
Spectral Representation for Causal Estimation with Hidden Confounders
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OpenReview]
Poster
@ Hall A-E 161
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
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OpenReview]
Poster
@ Hall A-E 179
Optimal Stochastic Trace Estimation in Generative Modeling
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OpenReview]
Poster
@ Hall A-E 192
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners
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OpenReview]
Poster
@ Hall A-E 6
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
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OpenReview]
Poster
@ Hall A-E 8
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs
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Poster]
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OpenReview]
Poster
@ Hall A-E 16
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
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OpenReview]
Poster
@ Hall A-E 17
Offline Multi-task Transfer RL with Representational Penalization
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OpenReview]
Poster
@ Hall A-E 23
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
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OpenReview]
Poster
@ Hall A-E 29
Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks
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OpenReview]
Poster
@ Hall A-E 38
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization
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OpenReview]
Poster
@ Hall A-E 44
Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients
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OpenReview]
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@ Hall A-E 48
Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
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OpenReview]
Poster
@ Hall A-E 49
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
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OpenReview]
Poster
@ Hall A-E 51
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
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OpenReview]
Poster
@ Hall A-E 62
Near-optimal algorithms for private estimation and sequential testing of collision probability
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OpenReview]
Poster
@ Hall A-E 65
Variance-Dependent Regret Bounds for Nonstationary Linear Bandits
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OpenReview]
Poster
@ Hall A-E 71
Provable Benefits of Task-Specific Prompts for In-context Learning
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OpenReview]
Poster
@ Hall A-E 74
Privacy in Metalearning and Multitask Learning: Modeling and Separations
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OpenReview]
Poster
@ Hall A-E 87
AlleNoise - large-scale text classification benchmark dataset with real-world label noise
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OpenReview]
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@ Hall A-E 93
Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem
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OpenReview]
Poster
@ Hall A-E 95
Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations
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OpenReview]
Poster
@ Hall A-E 99
HAR-former: Hybrid Transformer with an Adaptive Time-Frequency Representation Matrix for Long-Term Series Forecasting
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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 108
A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage
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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 115
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
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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 124
Optimal downsampling for Imbalanced Classification with Generalized Linear 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 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 150
Randomized Iterative Solver as Iterative Refinement: A Simple Fix Towards Backward Stability
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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 155
Out-of-distribution robustness for multivariate analysis via causal regularisation
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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]
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@ 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 174
SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search
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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 197
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
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 58
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
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OpenReview]
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@ Hall A-E 164
Bayesian Principles Improve Prompt Learning In Vision-Language Models
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OpenReview]
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@ Hall A-E 97
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
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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 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]
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