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Papers
Multi-task Representation Learning for Pure Exploration in Linear Bandits
ICML 2023
Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback
ICML 2023
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
NeurIPS 2023
On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits
ALT 2023
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
NeurIPS 2023
On the Existence of a Complexity in Fixed Budget Bandit Identification
COLT 2023
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure
AAAI 2023
Optimal Arms Identification with Knapsacks
ICML 2023
Thompson Exploration with Best Challenger Rule in Best Arm Identification
ACML 2023
Active Learning with Safety Constraints
NeurIPS 2022
A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits
AISTATS 2022
A Survey of Risk-Aware Multi-Armed Bandits
IJCAI 2022
Best Arm Identification with Safety Constraints
AISTATS 2022
Best Heuristic Identification for Constraint Satisfaction
IJCAI 2022
Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits
ICML 2022
Fixed-Budget Best-Arm Identification in Structured Bandits
IJCAI 2022
Identifying near-optimal decisions in linear-in-parameter bandit models with continuous decision sets
UAI 2022
Improved Pure Exploration in Linear Bandits with No-Regret Learning
IJCAI 2022
Instance-optimal PAC Algorithms for Contextual Bandits
NeurIPS 2022
Interactively Learning Preference Constraints in Linear Bandits
ICML 2022
Learning the Optimal Recommendation from Explorative Users
AAAI 2022
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification
NeurIPS 2022
Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits
NeurIPS 2022
Multi-Fidelity Best-Arm Identification
NeurIPS 2022
On Elimination Strategies for Bandit Fixed-Confidence Identification
NeurIPS 2022