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Learning Theory

5,312 papers

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Papers

Bandits with Knapsacks: Advice on Time-Varying Demands ICML 2023
Fundamental Tradeoffs in Learning with Prior Information ICML 2023
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates ICML 2023
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective ICML 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning ICML 2023
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel ICML 2023
WL meet VC ICML 2023
Dynamical Linear Bandits ICML 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data? ICML 2023
Provable Benefit of Mixup for Finding Optimal Decision Boundaries ICML 2023
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023
Measuring the Impact of Programming Language Distribution ICML 2023
On the Role of Attention in Prompt-tuning ICML 2023
Learn to Accumulate Evidence from All Training Samples: Theory and Practice ICML 2023
Towards Understanding Ensemble Distillation in Federated Learning ICML 2023
PAC Generalization via Invariant Representations ICML 2023
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network ICML 2023
The Ideal Continual Learner: An Agent That Never Forgets ICML 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness ICML 2023
Spurious Valleys and Clustering Behavior of Neural Networks ICML 2023
Equivariant Polynomials for Graph Neural Networks ICML 2023
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023
How much does Initialization Affect Generalization? ICML 2023