Overview

Best-arm identification is the problem of choosing the best among several options when each evaluation is noisy, as in bandit experiments, model evaluation, or hyperparameter search. Algorithms such as successive elimination and halving, as well as Track-and-Stop, allocate samples adaptively and use confidence bounds or likelihood tests to decide what to keep and when to stop. Work considers fixed budgets or prescribed confidence levels, and extends these methods to pairwise comparisons, multiple objectives, costs, fairness constraints, and nonstationary rewards; evaluations often use synthetic Gaussian or Bernoulli bandits and real model or policy benchmarks. A central challenge is reducing evaluations by exploiting gaps, correlations, or prior information without losing reliable guarantees when assumptions fail or the best options are nearly tied.

Latest papers

CardsList

49 papers8 papers in the last four weeks, up 60% on the four weeks before. 0.0% of all new papers.

  1. Bayesian Fixed-Confidence Best-Arm Identification with Abstention

    Oct 21, 2026Yuqi Huang, Yunlong Hou, Vincent Y. F. TanBest-Arm Identification

  2. Rethinking Successive Rejects Algorithms

    Oct 15, 2026Mohamed Khair, Junpei KomiyamaBest-Arm IdentificationMulti-Armed Bandits

  3. When More Objectives Make Identification Easier: The Role of Preferences and Feedback

    Oct 13, 2026Bo Xue, Ji Cheng, Yuanyu Wan +1Multi-Armed BanditsBest-Arm Identification

  4. Few-for-Many Best-Arm Identification in Multi-Objective Bandits

    Oct 12, 2026Bo Xue, Yilu Liu, Haodong Jing +3Multi-Armed BanditsBest-Arm Identification

  5. Best Arm Identification for Bandits with Shifting Means

    Oct 7, 2026Lukas Zierahn, Wouter M. Koolen, Shubhada Agrawal +2Multi-Armed BanditsBest-Arm Identification

  6. Asymptotically Optimal Best Arm Identification with Fixed-Budget under Differential Privacy

    Oct 3, 2026Keqin Chen, Jie Bian, Yulian Wu +1Best-Arm IdentificationMulti-Armed Bandits

  7. Nearly Optimal Fixed-Confidence Best-Arm Identification with 1-Bit Feedback

    Oct 2, 2026Khang Luong, Dinh Thai Son, Hoang Ta +2Best-Arm IdentificationMulti-Armed Bandits

  8. Sharp Non-Asymptotic Analysis of the Penalized Challenger in ββ-EB-TCI for Bernoulli Bandits

    Oct 1, 2026Nam Nguyen, Tuan Quang DamMulti-Armed BanditsBest-Arm Identification

  9. Quantum Monte Carlo Tree Search with Fixed Confidence

    Sep 27, 2026Mingjie Hu, Jian-Qiang Hu, Enlu ZhouMonte Carlo Tree SearchBest-Arm Identification

  10. Cost-Aware Best-LLM Identification using Dueling Feedback

    Sep 24, 2026Sarvesh Gharat, Nikhil Karamchandani, Jayakrishnan NairDueling BanditsBest-Arm Identification

  11. Efficient Cost-Aware LLM Evaluation via Bayesian Bandit Gittins Indices

    Sep 22, 2026Qian Xie, Yueli He, Nairen CaoMulti-Armed BanditsLLM Evaluation

  12. Gap Entropy and Almost Instance-Wise Optimal Best-Arm Identification

    Sep 12, 2026Jiarui Yao, Jiaxi Zhao, Xiangxin ZhouBest-Arm IdentificationSample Complexity

  13. The Price of Decentralization in Top-KK Arm Identification

    Aug 22, 2026Larissa Xu, Jasmine Nguyen, William ChangMulti-Armed BanditsBest-Arm Identification

  14. Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments

    Aug 22, 2026Khang Luong, Nam Nguyen, Hoang Ta +2Uncertainty-Aware ExplorationRL Exploration

  15. Where Does the Union Bound Go? Best-Arm Identification and Strong FWER Control

    Aug 20, 2026Rianne de HeideBest-Arm IdentificationMulti-Armed Bandits

  16. Does 1/2-Tsallis-INF Also Work Well for Best-Arm Identification?

    Aug 15, 2026Jingxin Zhan, Yuze Han, Zhihua ZhangMulti-Armed BanditsBest-Arm Identification

  17. Dynamically Allocating Evaluation Effort for Model Ranking

    Aug 4, 2026Vilém Zouhar, Julia Kreutzer, Alon Lavie +4Model SelectionMulti-Armed Bandits

  18. Dominant Arm Identification with Mixing and Recycling Observed Samples

    Aug 2, 2026Jonghyun Sim, Wonyoung KimMulti-Armed BanditsBest-Arm Identification

  19. MESHA: Mechanism-Enforced Sequential Halving for Strategic Linear Bandits

    Jul 16, 2026Xin Li, Zixin ZhongMulti-Armed BanditsMechanism Design

  20. Optimal Top-kk Identification from Pairwise Comparisons

    Jul 9, 2026Motti Goldberger, Nils RudiPairwise Preference LearningMulti-Armed Bandits

  21. Best-Arm Identification with Generative Proxy

    Jul 8, 2026Tianyi Ma, Hanzhang Qin, Ruihao Zhu +1Multi-Armed BanditsBest-Arm Identification

  22. Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis

    Jul 5, 2026Harsh Shrivastava, Yuta Kawakami, Junpei Komiyama +1Multi-Armed BanditsCausal Effect Estimation

  23. Bayesian Best-Arm Identification with Abstention: A Polynomial-to-Exponential Phase Transition

    Jun 28, 2026Yuqi Huang, Yunlong Hou, Vincent Y. F. TanMulti-Armed BanditsBest-Arm Identification

  24. Ranking-and-Selection with Multiple Correct Answers and Non-Answerable Estimates

    Jun 20, 2026Qiaoqiao Wang, Wei YouBest-Arm IdentificationAdaptive Sampling

  25. Online Learning with Recency: Algorithms for Sliding-window Streaming Multi-armed Bandits

    Jun 8, 2026Vladimir Braverman, Chen Wang, Liudeng Wang +1Multi-Armed BanditsBest-Arm Identification

  26. Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity

    Jun 5, 2026Zifan Lyu, Chahine Nejma, Tobias Wegel +2Model SelectionMulti-Armed Bandits

  27. Provably Reduced Sample Cost in Prior-Guided Hyperparameter Optimization

    Jun 3, 2026Leona Hennig, Jasmin Brandt, Lukas Fehring +3Multi-Fidelity OptimizationMulti-Armed Bandits