 |
 Improving Adaptive Online Learning Using Refined DiscretizationInternational Conference on Algorithmic Learning Theory (ALT), 2023 |
 Unconstrained Dynamic Regret via Sparse CodingNeural Information Processing Systems (NeurIPS), 2023 |
 Continuous Prediction with Experts' AdviceJournal of machine learning research (JMLR), 2022 |
 Optimal Comparator Adaptive Online Learning with Switching CostNeural Information Processing Systems (NeurIPS), 2022 |
 Efficient and Optimal Fixed-Time Regret with Two ExpertsInternational Conference on Algorithmic Learning Theory (ALT), 2022 |
 PDE-Based Optimal Strategy for Unconstrained Online LearningInternational Conference on Machine Learning (ICML), 2022 |
 Minimax Optimal Quantile and Semi-Adversarial Regret via
Root-Logarithmic RegularizersNeural Information Processing Systems (NeurIPS), 2021 |
 New Potential-Based Bounds for Prediction with Expert AdviceAnnual Conference Computational Learning Theory (COLT), 2019 |
