{"total":33,"rows":[{"id":"2110.11216","title":"User-friendly introduction to PAC-Bayes bounds","created":"2021-10-21","cited_by_count":239,"area":null},{"id":"2103.06257","title":"Maximum Entropy RL (Provably) Solves Some Robust RL Problems","created":"2021-03-10","cited_by_count":176,"area":null},{"id":"2107.04562","title":"The Bayesian Learning Rule","created":"2021-07-09","cited_by_count":99,"area":null},{"id":"2302.03775","title":"Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion","created":"2023-02-07","cited_by_count":45,"area":null},{"id":"2102.06622","title":"MetaGrad: Adaptation using Multiple Learning Rates in Online Learning","created":"2021-02-12","cited_by_count":26,"area":null},{"id":"2206.00024","title":"Online PAC-Bayes Learning","created":"2022-05-31","cited_by_count":22,"area":null},{"id":"2305.00832","title":"First- and Second-Order Bounds for Adversarial Linear Contextual Bandits","created":"2023-05-01","cited_by_count":19,"area":null},{"id":"2507.11847","title":"Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update","created":"2025-07-16","cited_by_count":16,"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":"2305.19674","title":"Online-to-PAC Conversions: Generalization Bounds via Regret Analysis","created":"2023-05-31","cited_by_count":14,"area":null},{"id":"2405.19681","title":"Bayesian Online Natural Gradient (BONG)","created":"2024-05-30","cited_by_count":14,"area":null},{"id":"2202.05630","title":"Scale-free Unconstrained Online Learning for Curved Losses","created":"2022-02-11","cited_by_count":13,"area":null},{"id":"2210.04229","title":"Learning on the Edge: Online Learning with Stochastic Feedback Graphs","created":"2022-10-09","cited_by_count":12,"area":null},{"id":"2406.06506","title":"Online Newton Method for Bandit Convex Optimisation","created":"2024-06-10","cited_by_count":12,"area":null},{"id":"2302.05371","title":"A Second-Order Method for Stochastic Bandit Convex Optimisation","created":"2023-02-10","cited_by_count":10,"area":null},{"id":"2308.07588","title":"High-Probability Risk Bounds via Sequential Predictors","created":"2023-08-15","cited_by_count":10,"area":null},{"id":"2110.14804","title":"Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers","created":"2021-10-27","cited_by_count":8,"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":"2506.10616","title":"Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability","created":"2025-06-12","cited_by_count":7,"area":null},{"id":"2205.13114","title":"Contextual Pandora's Box","created":"2022-05-26","cited_by_count":5,"area":null},{"id":"2104.02822","title":"Low-Regret Active learning","created":"2021-04-06","cited_by_count":3,"area":null},{"id":"2106.13021","title":"Improved Regret Bounds for Tracking Experts with Memory","created":"2021-06-24","cited_by_count":3,"area":null},{"id":"2207.11159","title":"Network Revenue Management with Demand Learning and Fair Resource-Consumption Balancing","created":"2022-07-22","cited_by_count":3,"area":null},{"id":"2212.05908","title":"Instance-Conditional Timescales of Decay for Non-Stationary Learning","created":"2022-12-12","cited_by_count":3,"area":null},{"id":"2403.01537","title":"Mixed Strategy Nash Equilibrium for Crowd Navigation","created":"2024-03-03","cited_by_count":3,"area":null},{"id":"2510.24187","title":"Self-Concordant Perturbations for Linear Bandits","created":"2025-10-28","cited_by_count":1,"area":null},{"id":"2607.02247","title":"Aggregation with Exponential Weights is Optimal in Expectation","created":"2026-07-02","cited_by_count":1,"area":null},{"id":"2202.02406","title":"Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting","created":"2022-02-04","cited_by_count":0,"area":null},{"id":"2209.06826","title":"Modifying Squint for Prediction with Expert Advice in a Changing Environment","created":"2022-09-14","cited_by_count":0,"area":null},{"id":"2408.14073","title":"Score-based change point detection via tracking the best of infinitely many experts","created":"2024-08-26","cited_by_count":0,"area":null},{"id":"2604.24172","title":"A Divergence-Based Method for Weighting and Averaging Model Predictions","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2605.09200","title":"A Complete Characterization of Learnability for Adversarial Noisy Bandits","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2606.24007","title":"Fast and Slow Variational Continual Learning","created":"2026-06-22","cited_by_count":0,"area":null}],"next_cursor":null}