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Learning Theory

5,312 papers

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Papers

On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation ICCV 2021
A Regret Minimization Approach to Iterative Learning Control ICML 2021
On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting ICML 2021
Robust Pure Exploration in Linear Bandits with Limited Budget ICML 2021
Safe Reinforcement Learning with Linear Function Approximation ICML 2021
Unitary Branching Programs: Learnability and Lower Bounds ICML 2021
Analyzing the tree-layer structure of Deep Forests ICML 2021
Deciding What to Learn: A Rate-Distortion Approach ICML 2021
Combinatorial Blocking Bandits with Stochastic Delays ICML 2021
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent ICML 2021
Uniform Convergence, Adversarial Spheres and a Simple Remedy ICML 2021
How Important is the Train-Validation Split in Meta-Learning? ICML 2021
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries ICML 2021
Sample Complexity of Robust Linear Classification on Separated Data ICML 2021
Offline Contextual Bandits with Overparameterized Models ICML 2021
Narrow Margins: Classification, Margins and Fat Tails ICML 2021
A Theory of Label Propagation for Subpopulation Shift ICML 2021
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment ICML 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case ICML 2021
Network Inference and Influence Maximization from Samples ICML 2021
Problem Dependent View on Structured Thresholding Bandit Problems ICML 2021
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence ICML 2021
Relative Deviation Margin Bounds ICML 2021