Toggle Poster Visibility
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 23
Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
[
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 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 31
Evidential Uncertainty Probes for Graph Neural Networks
[
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 82
Efficient Optimization Algorithms for Linear Adversarial Training
[
Poster]
[
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 9
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
[
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 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 96
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
[
OpenReview]
Poster
@ Hall A-E 164
Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 37
Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 36
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
[
OpenReview]
Poster
@ Hall A-E 138
Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 34
Corruption Robust Offline Reinforcement Learning with Human Feedback
[
Slides]
[
OpenReview]
Poster
@ Hall A-E 118
Policy Teaching via Data Poisoning in Learning from Human Preferences
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 99
Nonparametric Distributional Regression via Quantile Regression
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 55
Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
[
OpenReview]
Poster
@ Hall A-E 137
Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport
[
OpenReview]
Poster
@ Hall A-E 68
Multi-agent Multi-armed Bandit Regret Complexity and Optimality
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 135
On adaptivity and minimax optimality of two-sided nearest neighbors
[
OpenReview]
Poster
@ Hall A-E 133
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
[
OpenReview]
Poster
@ Hall A-E 143
Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo
[
OpenReview]
Poster
@ Hall A-E 120
Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression
[
OpenReview]
Poster
@ Hall A-E 75
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 163
Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs
[
OpenReview]
Poster
@ Hall A-E 159
Active Feature Acquisition for Personalised Treatment Assignment
[
OpenReview]
Poster
@ Hall A-E 184
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 119
Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression
[
OpenReview]
Poster
@ Hall A-E 195
Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition
[
OpenReview]
Poster
@ Hall A-E 148
High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 178
Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States
[
OpenReview]
Poster
@ Hall A-E 61
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
[
Slides]
[
OpenReview]
Poster
@ Hall A-E 76
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 69
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
[
OpenReview]
Poster
@ Hall A-E 126
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context
[
OpenReview]
Poster
@ Hall A-E 52
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 71
High Dimensional Bayesian Optimization using Lasso Variable Selection
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 8
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation
[
OpenReview]
Poster
@ Hall A-E 51
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
[
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 20
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
[
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 62
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
[
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 98
Towards a mathematical theory for consistency training in diffusion models
[
OpenReview]
Poster
@ Hall A-E 41
Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization
[
Poster]
[
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 128
A Computation-Efficient Method of Measuring Dataset Quality based on the Coverage of the Dataset
[
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 56
A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models
[
OpenReview]
Poster
@ Hall A-E 91
Dissecting the Impact of Model Misspecification in Data-Driven Optimization
[
OpenReview]
Poster
@ Hall A-E 6
Learning from biased positive-unlabeled data via threshold calibration
[
OpenReview]
Poster
@ Hall A-E 39
Differentially Private Range Queries with Correlated Input Perturbation
[
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 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 131
Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 108
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation
[
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 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 129
Theory of Agreement-on-the-Line in Linear Models and Gaussian Data
[
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 86
Leveraging Frozen Batch Normalization for Co-Training in Source-Free Domain Adaptation
[
OpenReview]
Poster
@ Hall A-E 169
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
[
OpenReview]
Poster
@ Hall A-E 70
Learning Pareto manifolds in high dimensions: How can regularization help?
[
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 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 2
Entropic Matching for Expectation Propagation of Markov Jump Processes
[
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 13
A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries
[
OpenReview]
Poster
@ Hall A-E 15
To Give or Not to Give? The Impacts of Strategically Withheld Recourse
[
OpenReview]
Poster
@ Hall A-E 17
The Local Learning Coefficient: A Singularity-Aware Complexity Measure
[
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 25
Causal Discovery-Driven Change Point Detection in Time Series
[
Slides]
[
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 44
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits
[
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 53
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
[
OpenReview]
Poster
@ Hall A-E 57
Robust Offline Policy Learning with Observational Data from Multiple Sources
[
OpenReview]
Poster
@ Hall A-E 58
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
[
OpenReview]
Poster
@ Hall A-E 59
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
[
OpenReview]
Poster
@ Hall A-E 67
No-Regret Bayesian Optimization with Stochastic Observation Failures
[
OpenReview]
Poster
@ Hall A-E 72
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
[
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 95
Noisy Low-Rank Matrix Completion via Transformed $L_1$ Regularization and its Theoretical Properties
[
OpenReview]
Poster
@ Hall A-E 100
Do Regularization Methods for Shortcut Mitigation Work As Intended?
[
OpenReview]
Poster
@ Hall A-E 106
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 110
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
[
OpenReview]
Poster
@ Hall A-E 111
Your copula is a classifier in disguise: classification-based copula density estimation
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 114
Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
[
OpenReview]
Poster
@ Hall A-E 124
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
[
OpenReview]
Poster
@ Hall A-E 127
Global Group Fairness in Federated Learning via Function Tracking
[
OpenReview]
Poster
@ Hall A-E 140
On the Power of Multitask Representation Learning with Gradient Descent
[
OpenReview]
Poster
@ Hall A-E 141
A Safe Exploration Approach to Constrained Markov Decision Processes
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 145
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models
[
OpenReview]
Poster
@ Hall A-E 147
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
[
OpenReview]
Poster
@ Hall A-E 156
Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents
[
OpenReview]
Poster
@ Hall A-E 155
Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
[
OpenReview]
Poster
@ Hall A-E 162
Learning signals defined on graphs with optimal transport and Gaussian process regression
[
OpenReview]
Poster
@ Hall A-E 189
$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
[
OpenReview]
Poster
@ Hall A-E 183
Conditional diffusions for amortized neural posterior estimation
[
OpenReview]
Poster
@ Hall A-E 175
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
[
OpenReview]
Poster
@ Hall A-E 123
Hyperbolic Prototypical Entailment Cones for Image Classification
[
OpenReview]
Poster
@ Hall A-E 160
Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error
[
OpenReview]
Poster
@ Hall A-E 198
Model-Based Causal Feature Selection for General Response Types
Poster
@ Hall A-E 30
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics
[
Slides]
[
Poster]
[
OpenReview]
Poster
@ Hall A-E 79
Change Point Detection in Hadamard Spaces by Alternating Minimization
[
OpenReview]
Poster
@ Hall A-E 150
Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms
[
OpenReview]
Poster
@ Hall A-E 46
Adversarial Training in High-Dimensional Regression: Generated Data and Neural Networks
[
OpenReview]
Successful Page Load