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Learning Theory

5312 directly classified papers

Papers per year

Papers

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks JMLR 2024
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models NAACL 2024
On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods JMLR 2024
Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024
On the Concentration of the Minimizers of Empirical Risks JMLR 2024
Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024
Best Arm Identification with Resource Constraints AISTATS 2024
Faster Convergence with MultiWay Preferences AISTATS 2024
LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles COLING 2024
Deep anytime-valid hypothesis testing AISTATS 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024
Multiple Descent in the Multiple Random Feature Model JMLR 2024
Functional Directed Acyclic Graphs JMLR 2024
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits AISTATS 2024
Data-Driven Online Model Selection With Regret Guarantees AISTATS 2024
Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024
Structural perspective on constraint-based learning of Markov networks AISTATS 2024
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024
Online learning in bandits with predicted context AISTATS 2024
Mechanics of Next Token Prediction with Self-Attention AISTATS 2024
On the Learnability of Out-of-distribution Detection JMLR 2024
Causal Bandits with General Causal Models and Interventions AISTATS 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024
The Effect of Generalisation on the Inadequacy of the Mode EACL 2024