Multi-Armed Bandits

Risk-aware linear bandits with convex loss AISTATS 2023 Robust Budget Pacing with a Single Sample ICML 2023 Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program AAAI 2023 Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms NeurIPS 2023 Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health AAAI 2023 Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML 2023 Smooth Non-stationary Bandits ICML 2023 Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits AISTATS 2023 Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023 Stochastic Contextual Bandits with Long Horizon Rewards AAAI 2023 Stochastic Gradient Succeeds for Bandits ICML 2023 Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk NeurIPS 2023 Thompson Exploration with Best Challenger Rule in Best Arm Identification ACML 2023 Thompson Sampling with Less Exploration is Fast and Optimal ICML 2023 Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo AISTATS 2023 Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits ICML 2023 Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs AAAI 2023 Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023 Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts ICML 2023 Trading-off price for data quality to achieve fair online allocation NeurIPS 2023 Transportability for Bandits with Data from Different Environments NeurIPS 2023 TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation AISTATS 2023 Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback NeurIPS 2023 Variance-Aware Sparse Linear Bandits ICLR 2023 Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency COLT 2023