stochastic linear bandit

Ensemble sampling for linear bandits: small ensembles suffice NeurIPS 2024 Optimal Scalarizations for Sublinear Hypervolume Regret NeurIPS 2024 Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures NeurIPS 2023 Multi-task Representation Learning with Stochastic Linear Bandits AISTATS 2023 Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets AAAI 2023 Robust and private stochastic linear bandits ICML 2023 Anti-Concentrated Confidence Bonuses For Scalable Exploration ICLR 2022 Feature and Parameter Selection in Stochastic Linear Bandits ICML 2022 Leveraging Initial Hints for Free in Stochastic Linear Bandits ALT 2022 Residual bootstrap exploration for stochastic linear bandit UAI 2022 An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NeurIPS 2021 Asymptotically Optimal Information-Directed Sampling COLT 2021 CORe: Capitalizing On Rewards in Bandit Exploration UAI 2021 Stochastic Linear Bandits Robust to Adversarial Attacks AISTATS 2021 Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis AISTATS 2020 Meta-learning with Stochastic Linear Bandits ICML 2020 Linear Multi-Resource Allocation with Semi-Bandit Feedback NeurIPS 2015