mistake bound

Ambiguous Online Learning COLT 2026 Discriminative Feature Feedback with General Teacher Classes ALT 2026 On the Importance of Randomization in Discriminative Feature Feedback COLT 2026 Robust Online Learning ALT 2026 Deterministic Apple Tasting COLT 2025 Effective Littlestone dimension ALT 2025 Online Linear Classification with Massart Noise ICML 2025 Self-Directed Node Classification on Graphs ALT 2025 The Complexity of Sequential Prediction in Dynamical Systems L4DC 2025 Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound AAAI 2024 Apple Tasting: Combinatorial Dimensions and Minimax Rates COLT 2024 Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs NeurIPS 2024 Multiclass Transductive Online Learning NeurIPS 2024 On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective COLT 2024 Simple online learning with consistent oracle COLT 2024 The Dimension of Self-Directed Learning ALT 2024 The Limits of Differential Privacy in Online Learning NeurIPS 2024 A Trichotomy for Transductive Online Learning NeurIPS 2023 Black-Box Differential Privacy for Interactive ML NeurIPS 2023 Improved Robust Algorithms for Learning with Discriminative Feature Feedback AISTATS 2023 On Computable Online Learning ALT 2023 Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension COLT 2023 Perceptronic Complexity and Online Matrix Completion ALT 2023 Self-Directed Linear Classification COLT 2023 Strategic Classification under Unknown Personalized Manipulation NeurIPS 2023