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
Adaptive Gradient-Based Meta-Learning Methods
NeurIPS 2019
Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes
COLT 2019
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity
AISTATS 2019
Adaptive Regret of Convex and Smooth Functions
ICML 2019
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
ICLR 2019
Adversarial examples from computational constraints
ICML 2019
A Generalization Bound for Online Variational Inference
ACML 2019
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks
NeurIPS 2019
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model
NeurIPS 2019
A Meta-Analysis of Overfitting in Machine Learning
NeurIPS 2019
An adaptive nearest neighbor rule for classification
NeurIPS 2019
An analytic theory of generalization dynamics and transfer learning in deep linear networks
ICLR 2019
An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory
JMLR 2019
A Necessary and Sufficient Stability Notion for Adaptive Generalization
NeurIPS 2019
A Neurobiological Evaluation Metric for Neural Network Model Search
CVPR 2019
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free
COLT 2019
An Exponential Efron-Stein Inequality for L_q Stable Learning Rules
ALT 2019
An Exponential Tail Bound for the Deleted Estimate
AAAI 2019
An Improved Analysis of Training Over-parameterized Deep Neural Networks
NeurIPS 2019
An Information-Theoretic Approach to Minimax Regret in Partial Monitoring
COLT 2019
A PAC Framework for Aggregating Agents’ Judgments
AAAI 2019
Approximation and non-parametric estimation of ResNet-type convolutional neural networks
ICML 2019
Approximations of the Restless Bandit Problem
JMLR 2019
A Practical Semi-Parametric Contextual Bandit
IJCAI 2019
Are deep ResNets provably better than linear predictors?
NeurIPS 2019