Learning Theory
6,809 papers
Papers per year
1
16
16
15
17
34
39
36
40
73
85
80
100
126
128
134
186
231
408
512
684
730
905
1,112
883
218
'5
'10
'15
'20
'25
Papers
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
ICML 2021
Query Complexity of Adversarial Attacks
ICML 2021
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
ICML 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization
ICML 2021
Reanalyzing the Most Probable Sentence Problem: A Case Study in Explicating the Role of Entropy in Algorithmic Complexity
EACL 2021
Reconstructing weighted voting schemes from partial information about their power indices
COLT 2021
Recursive prosody is not finite-state
ACL 2021
Refined approachability algorithms and application to regret minimization with global costs
JMLR 2021
Refined Learning Bounds for Kernel and Approximate k-Means
NeurIPS 2021
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
ICML 2021
Regret Bounds for Batched Bandits
AAAI 2021
Regret Minimization in Heavy-Tailed Bandits
COLT 2021
Regulating Greed Over Time in Multi-Armed Bandits
JMLR 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection
NeurIPS 2021
Reinforcement Learning in Parametric MDPs with Exponential Families
AISTATS 2021
Reinforcement Learning in Reward-Mixing MDPs
NeurIPS 2021
Relative Deviation Margin Bounds
ICML 2021
Relative stability toward diffeomorphisms indicates performance in deep nets
NeurIPS 2021
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization
NeurIPS 2021
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs
IJCAI 2021
Revealing the Structure of Deep Neural Networks via Convex Duality
ICML 2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
JMLR 2021
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
AAAI 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
L4DC 2021
Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum
AISTATS 2021