Learning Theory
6,809 papers
Papers per year
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Papers
Prediction against a limited adversary
JMLR 2021
Prediction with Finitely many Errors Almost Surely
AISTATS 2021
Predictive Learning on Hidden Tree-Structured Ising Models
JMLR 2021
Private learning implies quantum stability
NeurIPS 2021
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
ICML 2021
Probing for idiomaticity in vector space models
EACL 2021
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits
AISTATS 2021
Problem Dependent View on Structured Thresholding Bandit Problems
ICML 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
ICML 2021
Provable Memorization via Deep Neural Networks using Sub-linear Parameters
COLT 2021
Provable Rich Observation Reinforcement Learning with Combinatorial Latent States
ICLR 2021
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
ICML 2021
Provably Correct Optimization and Exploration with Non-linear Policies
ICML 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL
ICML 2021
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions
ICML 2021
Provably efficient multi-task reinforcement learning with model transfer
NeurIPS 2021
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
ICML 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints
NeurIPS 2021
Provably efficient, succinct, and precise explanations
NeurIPS 2021
Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems
L4DC 2021
Provably Strict Generalisation Benefit for Equivariant Models
ICML 2021
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
NeurIPS 2021
Pure Exploration in Kernel and Neural Bandits
NeurIPS 2021
Q-learning with Logarithmic Regret
AISTATS 2021
Quantifying and Improving Transferability in Domain Generalization
NeurIPS 2021