littlestone dimension

Ambiguous Online Learning COLT 2026 Online Realizable Regression and Applications for ReLU Networks COLT 2026 On Randomized Algorithms in Online Strategic Classification COLT 2026 Deterministic Apple Tasting COLT 2025 Effective Littlestone dimension ALT 2025 Private List Learnability vs. Online List Learnability COLT 2025 Stability and List-Replicability for Agnostic Learners COLT 2025 The Role of Randomness in Stability ICML 2025 Apple Tasting: Combinatorial Dimensions and Minimax Rates COLT 2024 Learning from Snapshots of Discrete and Continuous Data Streams NeurIPS 2024 Multiclass Online Learnability under Bandit Feedback ALT 2024 Multiclass Transductive Online Learning NeurIPS 2024 Online Learning with Set-valued Feedback COLT 2024 Private PAC Learning May be Harder than Online Learning ALT 2024 Simple online learning with consistent oracle COLT 2024 Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification NeurIPS 2024 The Star Number and Eluder Dimension: Elementary Observations About the Dimensions of Disagreement COLT 2024 A Trichotomy for Transductive Online Learning NeurIPS 2023 Find a witness or shatter: the landscape of computable PAC learning. COLT 2023 List Online Classification COLT 2023 Multiclass Online Learning and Uniform Convergence COLT 2023 On Computable Online Learning ALT 2023 Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension COLT 2023 Universal Rates for Multiclass Learning COLT 2023 Adversarially Robust Learning with Unknown Perturbation Sets COLT 2021