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
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
NeurIPS 2021
Benchmarking: Past, Present and Future
ACL 2021
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
ICLR 2021
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
NeurIPS 2021
Benign Overfitting of Constant-Stepsize SGD for Linear Regression
COLT 2021
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
ICML 2021
Best-case lower bounds in online learning
NeurIPS 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game
NeurIPS 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
AAAI 2021
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
NeurIPS 2021
Boosting in the Presence of Massart Noise
COLT 2021
Bounded-cost Search Using Estimates of Uncertainty
IJCAI 2021
Bounded Memory Active Learning through Enriched Queries
COLT 2021
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs
NeurIPS 2021
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
NeurIPS 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
ICML 2021
Causal Bandits with Unknown Graph Structure
NeurIPS 2021
Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation
COLT 2021
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
ICML 2021
Characterizing the implicit bias via a primal-dual analysis
ALT 2021
Characterizing the Loss Landscape in Non-Negative Matrix Factorization
AAAI 2021
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
NeurIPS 2021
Combinatorial Blocking Bandits with Stochastic Delays
ICML 2021
Comparing Test Sets with Item Response Theory
ACL 2021
Comparing Text Representations: A Theory-Driven Approach
EMNLP 2021