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Learning Theory

5,334 papers

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Papers

The Implicit Bias of Benign Overfitting JMLR 2023
Generalization Bounds for Adversarial Contrastive Learning JMLR 2023
Deep linear networks can benignly overfit when shallow ones do JMLR 2023
Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023
Benign overfitting in ridge regression JMLR 2023
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023
Generalization error bounds for multiclass sparse linear classifiers JMLR 2023
Dropout Training is Distributionally Robust Optimal JMLR 2023
Quasi-Equivalence between Width and Depth of Neural Networks JMLR 2023
Random Feature Neural Networks Learn Black-Scholes Type PDEs Without Curse of Dimensionality JMLR 2023
PAC-learning for Strategic Classification JMLR 2023
Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023
Graph Attention Retrospective JMLR 2023
Revisiting minimum description length complexity in overparameterized models JMLR 2023
Causal Bandits for Linear Structural Equation Models JMLR 2023
A PDE approach for regret bounds under partial monitoring JMLR 2023
Random Feature Amplification: Feature Learning and Generalization in Neural Networks JMLR 2023
Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023
The Power of Contrast for Feature Learning: A Theoretical Analysis JMLR 2023
The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension JMLR 2023
Compression, Generalization and Learning JMLR 2023
Instance-Dependent Generalization Bounds via Optimal Transport JMLR 2023
Limitations on approximation by deep and shallow neural networks JMLR 2023
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models JMLR 2023