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Learning Theory

5312 directly classified papers

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Papers

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
Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023
On Discovering Interesting Combinatorial Integer Sequences IJCAI 2023
Exploring Model Transferability through the Lens of Potential Energy ICCV 2023
Partial-Label Regression AAAI 2023
Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 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
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective IJCAI 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023
The Importance of Human-Labeled Data in the Era of LLMs IJCAI 2023
PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023
Levin Tree Search with Context Models IJCAI 2023
Further Adaptive Best-of-Both-Worlds Algorithm for Combinatorial Semi-Bandits AISTATS 2023
On the Consistency Rate of Decision Tree Learning Algorithms AISTATS 2023
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits AISTATS 2023
Recognizable Information Bottleneck IJCAI 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning ICML 2023
Improved Bound on Generalization Error of Compressed KNN Estimator AISTATS 2023