{"total":27,"rows":[{"id":"2106.04117","title":"The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition","created":"2021-06-08","cited_by_count":40,"area":null},{"id":"2206.00873","title":"Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs","created":"2022-06-02","cited_by_count":26,"area":null},{"id":"2302.04552","title":"Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization","created":"2023-02-09","cited_by_count":22,"area":null},{"id":"2102.05776","title":"Defense Against Reward Poisoning Attacks in Reinforcement Learning","created":"2021-02-10","cited_by_count":21,"area":null},{"id":"2109.10963","title":"On Optimal Robustness to Adversarial Corruption in Online Decision Problems","created":"2021-09-22","cited_by_count":21,"area":null},{"id":"2202.07554","title":"Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness","created":"2022-02-15","cited_by_count":21,"area":null},{"id":"2204.09837","title":"Memory Bounds for the Experts Problem","created":"2022-04-21","cited_by_count":20,"area":null},{"id":"2206.06810","title":"Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds","created":"2022-06-14","cited_by_count":12,"area":null},{"id":"2202.01850","title":"A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits","created":"2022-02-03","cited_by_count":11,"area":null},{"id":"2206.02656","title":"A Regret-Variance Trade-Off in Online Learning","created":"2022-06-06","cited_by_count":7,"area":null},{"id":"2303.03272","title":"Accelerated Rates between Stochastic and Adversarial Online Convex Optimization","created":"2023-03-06","cited_by_count":7,"area":null},{"id":"2102.12192","title":"Multiplicative Reweighting for Robust Neural Network Optimization","created":"2021-02-24","cited_by_count":4,"area":null},{"id":"2107.01881","title":"Robust Online Convex Optimization in the Presence of Outliers","created":"2021-07-05","cited_by_count":4,"area":null},{"id":"2107.09572","title":"Best-of-All-Worlds Bounds for Online Learning with Feedback Graphs","created":"2021-07-20","cited_by_count":4,"area":null},{"id":"2405.16843","title":"Non-stochastic Bandits With Evolving Observations","created":"2024-05-27","cited_by_count":4,"area":null},{"id":"2510.04685","title":"Parameter-free Algorithms for the Stochastically Extended Adversarial Model","created":"2025-10-06","cited_by_count":3,"area":null},{"id":"2201.01628","title":"Bridging Adversarial and Nonstationary Multi-armed Bandit","created":"2022-01-05","cited_by_count":2,"area":null},{"id":"2312.14259","title":"Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels","created":"2023-12-21","cited_by_count":2,"area":null},{"id":"2506.01722","title":"When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses","created":"2025-06-02","cited_by_count":2,"area":null},{"id":"2501.03402","title":"On the Adversarial Robustness of Benjamini Hochberg","created":"2025-01-06","cited_by_count":1,"area":null},{"id":"2402.17720","title":"The SMART approach to instance-optimal online learning","created":"2024-02-27","cited_by_count":0,"area":null},{"id":"2403.12181","title":"MAC Advice for Facility Location Mechanism Design","created":"2024-03-18","cited_by_count":0,"area":null},{"id":"2406.18072","title":"Learning for Bandits under Action Erasures","created":"2024-06-26","cited_by_count":0,"area":null},{"id":"2504.20894","title":"Does Feedback Help in Bandits with Arm Erasures?","created":"2025-04-29","cited_by_count":0,"area":null},{"id":"2604.02255","title":"Best-Arm Identification with Noisy Actuation","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2608.29503","title":"Adversarial Online Classification with a Preview","created":"2026-08-30","cited_by_count":0,"area":null},{"id":"2610.14904","title":"Prediction with Expert Advice under Heavy-Tailed Losses","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}