Learning Theory
6,809 papers
Papers per year
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Papers
Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs
NeurIPS 2023
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles
AISTATS 2023
Follow-the-Perturbed-Leader Achieves Best-of-Both-Worlds for Bandit Problems
ALT 2023
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
NeurIPS 2023
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks
COLT 2023
From Pseudorandomness to Multi-Group Fairness and Back
COLT 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
ICML 2023
From Tempered to Benign Overfitting in ReLU Neural Networks
NeurIPS 2023
Fundamental Limits in Formal Verification of Message-Passing Neural Networks
ICLR 2023
Fundamental limits on the robustness of image classifiers
ICLR 2023
Fundamental Tradeoffs in Learning with Prior Information
ICML 2023
Further Adaptive Best-of-Both-Worlds Algorithm for Combinatorial Semi-Bandits
AISTATS 2023
Generalization Analysis for Contrastive Representation Learning
ICML 2023
Generalization and Estimation Error Bounds for Model-based Neural Networks
ICLR 2023
Generalization Bounds for Adversarial Contrastive Learning
JMLR 2023
Generalization Bounds for Adversarial Metric Learning
IJCAI 2023
Generalization bounds for neural ordinary differential equations and deep residual networks
NeurIPS 2023
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels
JMLR 2023
Generalization Bounds using Data-Dependent Fractal Dimensions
ICML 2023
Generalization error bounds for multiclass sparse linear classifiers
JMLR 2023
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage
COLT 2023
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption
IJCAI 2023
Generalization Guarantees via Algorithm-dependent Rademacher Complexity
COLT 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
AISTATS 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
ICML 2023