Skip to content
conftrace_

Learning Theory

6,809 papers

17
73
128
512
883
'5
'10
'15
'20
'25

Papers

Identification of the Generalized Condorcet Winner in Multi-dueling Bandits NeurIPS 2021 If You Like Shapley Then You’ll Love the Core AAAI 2021 Implicit Bias of Linear RNNs ICML 2021 Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path NeurIPS 2021 Implicit Gradient Regularization ICLR 2021 Implicit Regularization in Tensor Factorization ICML 2021 Implicit Regularization via Neural Feature Alignment AISTATS 2021 Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning JMLR 2021 Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise COLT 2021 Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions COLT 2021 Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits ICML 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021 Improved Estimation of Concentration Under ℓ_p-Norm Distance Metrics Using Half Spaces ICLR 2021 Improved generalization bounds of group invariant / equivariant deep networks via quotient feature spaces UAI 2021 Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation NeurIPS 2021 Improved Regret Bounds for Tracking Experts with Memory NeurIPS 2021 Improved Regret Bounds of Bilinear Bandits using Action Space Analysis ICML 2021 Improved Regret for Zeroth-Order Stochastic Convex Bandits COLT 2021 Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP NeurIPS 2021 Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration AAAI 2021 Incentive-Aware PAC Learning AAAI 2021 Incentivized Bandit Learning with Self-Reinforcing User Preferences ICML 2021 Individual Fairness in Hindsight JMLR 2021 Information-theoretic generalization bounds for black-box learning algorithms NeurIPS 2021 Information-Theoretic Generalization Bounds for Stochastic Gradient Descent COLT 2021