% Key papers for Best-arm identification in linear bandits (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2016_refined_55956,
  title = {{Refined Lower Bounds for Adversarial Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7357},
}

@inproceedings{icml2018_best_36544,
  title = {{Best Arm Identification in Linear Bandits with Linear Dimension Dependency}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1983},
}

@inproceedings{neurips2020_optimal_60531,
  title = {{Optimal Best-arm Identification in Linear Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18944},
}

@inproceedings{aaai2017_pac_104425,
  title = {{PAC Identification of a Bandit Arm Relative to a Reward Quantile}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10802},
}

@inproceedings{neurips2019_optimal_58760,
  title = {{Optimal Best Markovian Arm Identification with Fixed Confidence}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13688},
}

@inproceedings{icml2017_adaptive_36052,
  title = {{Adaptive Multiple-Arm Identification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/546},
}

@inproceedings{neurips2021_optimal_61331,
  title = {{Optimal Best-Arm Identification Methods for Tail-Risk Measures}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26325},
}

@inproceedings{icml2019_pac_37639,
  title = {{PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3895},
}

@inproceedings{icml2020_best_37971,
  title = {{Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5819},
}

@inproceedings{icml2021_improved_39446,
  title = {{Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8411},
}

@inproceedings{icml2018_feasible_36696,
  title = {{Feasible Arm Identification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2064},
}

@inproceedings{icml2021_probabilistic_39816,
  title = {{Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10685},
}

@inproceedings{icml2021_quantile_39840,
  title = {{Quantile Bandits for Best Arms Identification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8699},
}

@inproceedings{neurips2023_adaptive_69831,
  title = {{Adaptive Algorithms for Relaxed Pareto Set Identification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70119},
}

@inproceedings{icml2020_on_38525,
  title = {{On Conditional Versus Marginal Bias in Multi-Armed Bandits}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6720},
}

@inproceedings{neurips2021_bandits_61701,
  title = {{Bandits with many optimal arms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27091},
}

@inproceedings{neurips2021_multi_63302,
  title = {{Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28714},
}

@inproceedings{neurips2022_instance_64921,
  title = {{Instance-optimal PAC Algorithms for Contextual Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52901},
}

@inproceedings{iclr2024_fixed_35557,
  title = {{Fixed-Budget Differentially Private Best Arm Identification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17516},
}

@inproceedings{icml2019_correlated_37255,
  title = {{Correlated bandits or: How to minimize mean-squared error online}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3870},
}

@inproceedings{aaai2025_linear_9799,
  title = {{Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34242},
}

@inproceedings{aaai2025_on_10172,
  title = {{On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33959},
}

@inproceedings{icml2024_best_44611,
  title = {{Best Arm Identification for Stochastic Rising Bandits}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33841},
}

@inproceedings{icml2025_constrained_46001,
  title = {{Constrained Pareto Set Identification with Bandit Feedback}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46545},
}

@inproceedings{icml2025_near_46008,
  title = {{Near Optimal Best Arm Identification for Clustered Bandits}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46538},
}

@inproceedings{neurips2024_almost_72056,
  title = {{Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95265},
}

@inproceedings{neurips2025_optimal_76074,
  title = {{Optimal Estimation of the Best Mean in Multi-Armed Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=FBfN5tYl6b},
}

@inproceedings{neurips2025_constrained_76453,
  title = {{Constrained Best Arm Identification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=JTNvG0jTaJ},
}

@inproceedings{neurips2025_balancing_79202,
  title = {{Balancing Performance and Costs in Best Arm Identification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=mt5knCQyq0},
}

@inproceedings{neurips2026_the_91213,
  title = {{The Sampling Complexity of Condorcet Winner Identification in Dueling Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151146},
}

@inproceedings{neurips2026_best_94169,
  title = {{Best Arm Identification in Generalized Linear Bandits via Hybrid Feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151037},
}

@inproceedings{icml2024_on_45004,
  title = {{On Universally Optimal Algorithms for A/B Testing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33448},
}

@inproceedings{iclr2025_breaking_82717,
  title = {{Breaking the \$log(1/Delta\_2)\$ Barrier: Better Batched Best Arm Identification with Adaptive Grids}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29082},
}

@inproceedings{neurips2026_on_95581,
  title = {{On Minimizing Regret in Fixed-Confidence \$varepsilon\$-Best Arm Identification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155630},
}