Co-occurring keywords · papers mentioning both
Papers
Sample-Optimal Agnostic Boosting with Unlabeled Data
ICML 2025
ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters
AISTATS 2025
Shallow diffusion networks provably learn hidden low-dimensional structure
ICLR 2025
Simplifying Adversarially Robust PAC Learning With Tolerance
COLT 2025
SOREL: A Stochastic Algorithm for Spectral Risks Minimization
ICLR 2025
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
AISTATS 2025
Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs
ICLR 2025
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
UAI 2025
Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem
AISTATS 2025
Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
ICML 2025
Task-Driven Discrete Representation Learning
AISTATS 2025
Testing (Conditional) Mutual Information - Extended Abstract
COLT 2025
Test-Time Training Provably Improves Transformers as In-context Learners
ICML 2025
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
JMLR 2025
The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization
ALT 2025
The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis
ALT 2025
The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability
ICML 2025
The Sample Complexity of Stackelberg Games
AISTATS 2025
Towards a mathematical theory for consistency training in diffusion models
AISTATS 2025
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation
AAAI 2025
Understanding Aggregations of Proper Learners in Multiclass Classification
ALT 2025
Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning
ICLR 2025
Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means
ICML 2025
When Can Proxies Improve the Sample Complexity of Preference Learning?
ICML 2025
Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
ICML 2024