Co-occurring keywords · papers mentioning both
Papers
Adaptation to the Range in K-Armed Bandits
JMLR 2023
Adversarial Attacks on Online Learning to Rank with Click Feedback
NeurIPS 2023
A Second-Order Method for Stochastic Bandit Convex Optimisation
COLT 2023
Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms
COLT 2023
Delayed Feedback in Generalised Linear Bandits Revisited
AISTATS 2023
Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
NeurIPS 2023
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
NeurIPS 2023
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm
ICML 2023
Replicable Bandits
ICLR 2023
Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds
NeurIPS 2023
Stochastic Graphical Bandits with Heavy-Tailed Rewards
UAI 2023
VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback
JMLR 2023
Vector Optimization with Stochastic Bandit Feedback
AISTATS 2023
A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints
AISTATS 2022
A Simple Unified Framework for High Dimensional Bandit Problems
ICML 2022
A Wasserstein Distance Approach for Concentration of Empirical Risk Estimates
JMLR 2022
Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
ICML 2022
CVaR-Regret Bounds for Multi-armed Bandits
ACML 2022
KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints
JMLR 2022
Multi-Fidelity Best-Arm Identification
NeurIPS 2022
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
ICML 2022
Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits
UAI 2022
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification
AAAI 2022
Shuffle Private Linear Contextual Bandits
ICML 2022
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
ICML 2022