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Kevin Jamieson

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Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning

Feb 03, 2024
Yiping Wang, Yifang Chen, Wendan Yan, Kevin Jamieson, Simon Shaolei Du

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An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models

Jan 12, 2024
Gantavya Bhatt, Yifang Chen, Arnav M. Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak

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Fair Active Learning in Low-Data Regimes

Dec 13, 2023
Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin Jamieson

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Minimax Optimal Submodular Optimization with Bandit Feedback

Oct 27, 2023
Artin Tajdini, Lalit Jain, Kevin Jamieson

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Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits

Oct 25, 2023
Arnab Maiti, Ross Boczar, Kevin Jamieson, Lillian J. Ratliff

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Optimal Exploration is no harder than Thompson Sampling

Oct 24, 2023
Zhaoqi Li, Kevin Jamieson, Lalit Jain

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Pick Planning Strategies for Large-Scale Package Manipulation

Sep 23, 2023
Shuai Li, Azarakhsh Keipour, Kevin Jamieson, Nicolas Hudson, Sicong Szhao, Charles Swan, Kostas Bekris

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A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity

Jul 27, 2023
Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin Jamieson

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Logarithmic Regret for Matrix Games against an Adversary with Noisy Bandit Feedback

Jun 22, 2023
Arnab Maiti, Kevin Jamieson, Lillian J. Ratliff

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