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Learning Theory

5312 directly classified papers

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Papers

Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023
Finding Generalization Measures by Contrasting Signal and Noise ICML 2023
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network ICML 2023
Exploring Model Transferability through the Lens of Potential Energy ICCV 2023
Optimal Nonlinearities Improve Generalization Performance of Random Features ACML 2023
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks ICML 2023
False Discovery Proportion control for aggregated Knockoffs NIPS 2023
Active Ranking of Experts Based on their Performances in Many Tasks ICML 2023
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective IJCAI 2023
Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model AISTATS 2023
Sample Complexity of Distinguishing Cause from Effect AISTATS 2023
Competing against Adaptive Strategies in Online Learning via Hints AISTATS 2023
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023
Incentive-aware Contextual Pricing with Non-parametric Market Noise AISTATS 2023
Second Order Path Variationals in Non-Stationary Online Learning AISTATS 2023
Nonstochastic Contextual Combinatorial Bandits AISTATS 2023
Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo AISTATS 2023
Will Large-scale Generative Models Corrupt Future Datasets? ICCV 2023
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization NIPS 2023
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS 2023
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference AISTATS 2023
A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications NIPS 2023
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel ICML 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023
PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023