Learning Theory
6,809 papers
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Papers
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
ICLR 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
ICML 2024
How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?
NeurIPS 2024
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach
NeurIPS 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
ICLR 2024
How Does Variance Shape the Regret in Contextual Bandits?
NeurIPS 2024
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
NeurIPS 2024
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
ICML 2024
How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad
NeurIPS 2024
How Flawed Is ECE? An Analysis via Logit Smoothing
ICML 2024
How Hard Is It to Impact the Impact of Your Paper?
IJCAI 2024
How many classifiers do we need?
NeurIPS 2024
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
ICLR 2024
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
ICLR 2024
How Spurious Features are Memorized: Precise Analysis for Random and NTK Features
ICML 2024
How to Boost Any Loss Function
NeurIPS 2024
How to Escape Sharp Minima with Random Perturbations
ICML 2024
How to Explore with Belief: State Entropy Maximization in POMDPs
ICML 2024
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization
ICML 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
NeurIPS 2024
How Transformers Learn Causal Structure with Gradient Descent
ICML 2024
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
JMLR 2024
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
ICML 2024
Hybrid Inverse Reinforcement Learning
ICML 2024
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
ICML 2024