Online Learning

Adaptive Selective Sampling for Online Prediction with Experts NeurIPS 2023 Adversarial Attacks on Online Learning to Rank with Click Feedback NeurIPS 2023 A Formal Metareasoning Model of Concurrent Planning and Execution AAAI 2023 A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback ICML 2023 Allocating Divisible Resources on Arms with Unknown and Random Rewards COLT 2023 A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints ICML 2023 An Information-Theoretic Analysis of Nonstationary Bandit Learning ICML 2023 Anytime Model Selection in Linear Bandits NeurIPS 2023 Applied Online Algorithms with Heterogeneous Predictors ICML 2023 Approximately Stationary Bandits with Knapsacks COLT 2023 Attacks on Online Learners: a Teacher-Student Analysis NeurIPS 2023 Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm COLT 2023 Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds COLT 2023 Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023 Buying Information for Stochastic Optimization ICML 2023 Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits NeurIPS 2023 Conformal PID Control for Time Series Prediction NeurIPS 2023 Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms COLT 2023 Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression COLT 2023 Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023 Distributed Differential Privacy in Multi-Armed Bandits ICLR 2023 Distributed Projection-Free Online Learning for Smooth and Convex Losses AAAI 2023 Doubly Fair Dynamic Pricing AISTATS 2023 Efficient Online Clustering with Moving Costs NeurIPS 2023 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation ICML 2023