{"total":33,"rows":[{"id":"2109.10399","title":"SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking","created":"2021-09-21","cited_by_count":21,"area":null},{"id":"2106.09563","title":"On Anytime Learning at Macroscale","created":"2021-06-17","cited_by_count":20,"area":null},{"id":"2111.01589","title":"Nonstochastic Bandits and Experts with Arm-Dependent Delays","created":"2021-11-02","cited_by_count":18,"area":null},{"id":"2206.06015","title":"No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation","created":"2022-06-13","cited_by_count":17,"area":null},{"id":"2305.08629","title":"A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs","created":"2023-05-15","cited_by_count":15,"area":null},{"id":"2406.10631","title":"Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms","created":"2024-06-15","cited_by_count":14,"area":null},{"id":"2402.09152","title":"Improved Regret for Bandit Convex Optimization with Delayed Feedback","created":"2024-02-14","cited_by_count":8,"area":null},{"id":"2305.15352","title":"Optimal Rates for Bandit Nonstochastic Control","created":"2023-05-24","cited_by_count":7,"area":null},{"id":"2506.07595","title":"Exploiting Curvature in Online Convex Optimization with Delayed Feedback","created":"2025-06-09","cited_by_count":6,"area":null},{"id":"2202.08426","title":"Synthetic Control As Online Linear Regression","created":"2022-02-17","cited_by_count":5,"area":null},{"id":"2211.08980","title":"Asynchronous Gradient Play in Zero-Sum Multi-agent Games","created":"2022-11-16","cited_by_count":5,"area":null},{"id":"2312.00923","title":"Label Delay in Online Continual Learning","created":"2023-12-01","cited_by_count":5,"area":null},{"id":"2505.22899","title":"On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning","created":"2025-05-28","cited_by_count":5,"area":null},{"id":"2112.14586","title":"Isotuning With Applications To Scale-Free Online Learning","created":"2021-12-29","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":"2204.04964","title":"Projection-free Online Learning with Arbitrary Delays","created":"2022-04-11","cited_by_count":3,"area":null},{"id":"2211.17154","title":"On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits","created":"2022-11-30","cited_by_count":3,"area":null},{"id":"2305.12131","title":"Non-stationary Delayed Online Convex Optimization: From Full-information to Bandit Setting","created":"2023-05-20","cited_by_count":3,"area":null},{"id":"2404.03309","title":"Optimistic Online Non-stochastic Control via FTRL","created":"2024-04-04","cited_by_count":3,"area":null},{"id":"2602.02634","title":"A Reduction from Delayed to Immediate Feedback for Online Convex Optimization with Improved Guarantees","created":"2026-02-02","cited_by_count":3,"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":"2601.15984","title":"Partially Lazy Gradient Descent for Smoothed Online Learning","created":"2026-01-22","cited_by_count":2,"area":null},{"id":"2112.12134","title":"A Unified Analysis Method for Online Optimization in Normed Vector Space","created":"2021-12-22","cited_by_count":1,"area":null},{"id":"2406.03845","title":"Open Problem: Active Representation Learning","created":"2024-06-06","cited_by_count":1,"area":null},{"id":"2502.18709","title":"Bandit and Delayed Feedback in Online Structured Prediction","created":"2025-02-26","cited_by_count":1,"area":null},{"id":"2606.11711","title":"Capacity-Constrained Online Convex Optimization with Delayed Feedback","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2203.14520","title":"Optimistic Online Convex Optimization in Dynamic Environments","created":"2022-03-28","cited_by_count":0,"area":null},{"id":"2301.07530","title":"Online (Non-)Convex Learning via Tempered Optimism","created":"2023-01-18","cited_by_count":0,"area":null},{"id":"2503.10013","title":"Revisiting Multi-Agent Asynchronous Online Optimization with Delays: the Strongly Convex Case","created":"2025-03-13","cited_by_count":0,"area":null},{"id":"2504.03499","title":"Optimistic Learning for Communication Networks","created":"2025-04-04","cited_by_count":0,"area":null},{"id":"2603.21375","title":"Constrained Online Convex Optimization with Memory and Predictions","created":"2026-03-22","cited_by_count":0,"area":null},{"id":"2605.12693","title":"IGT-OMD: Implicit Gradient Transport for Decision-Focused Learning under Delayed Feedback","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2609.32593","title":"Age of Learning: Temporal Persistence of Prediction Errors as a Learning Signal","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}