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Multi-Armed Bandits

1,057 papers

Papers per year

5
27
87
38
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Papers

Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering ACL 2023
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking ACL 2023
Overcoming Prior Misspecification in Online Learning to Rank AISTATS 2023
Bayesian Optimization with Conformal Prediction Sets AISTATS 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023
Mixed-Effect Thompson Sampling AISTATS 2023
Vector Optimization with Stochastic Bandit Feedback AISTATS 2023
An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge AISTATS 2023
Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference AISTATS 2023
Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits AISTATS 2023
Piecewise Stationary Bandits under Risk Criteria AISTATS 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits AISTATS 2023
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments AISTATS 2023
Boosted Off-Policy Learning AISTATS 2023
Delayed Feedback in Generalised Linear Bandits Revisited AISTATS 2023
Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback AISTATS 2023
Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023
Risk-aware linear bandits with convex loss AISTATS 2023
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits AISTATS 2023
On the Complexity of Representation Learning in Contextual Linear Bandits AISTATS 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits AISTATS 2023