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Near Instance Optimal Model Selection for Pure Exploration Linear Bandits., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 6735-6769. PMLR, (2022)Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 27574-27590. PMLR, (2022)Infinite Action Contextual Bandits with Reusable Data Exhaust., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29259-29274. PMLR, (2023)An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models., , , , , , , , , and 2 other author(s). CoRR, (2024)Efficient Active Learning with Abstention., and . NeurIPS, (2022)On Regret with Multiple Best Arms., and . NeurIPS, (2020)Robust Outlier Arm Identification., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 11566-11575. PMLR, (2020)Pareto Optimal Model Selection in Linear Bandits., and . CoRR, (2021)LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning., , , , , , , and . CoRR, (2023)Pure Exploration in Kernel and Neural Bandits., , , , , and . NeurIPS, page 11618-11630. (2021)