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Lalit Jain

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Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice

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Feb 26, 2024
Tanner Fiez, Houssam Nassif, Yu-Cheng Chen, Sergio Gamez, Lalit Jain

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DIRECT: Deep Active Learning under Imbalance and Label Noise

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Dec 14, 2023
Shyam Nuggehalli, Jifan Zhang, Lalit Jain, Robert Nowak

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Fair Active Learning in Low-Data Regimes

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

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Pessimistic Off-Policy Multi-Objective Optimization

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Oct 28, 2023
Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy, Lalit Jain, Branislav Kveton, Ge Liu

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Minimax Optimal Submodular Optimization with Bandit Feedback

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

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Optimal Exploration is no harder than Thompson Sampling

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

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

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

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Adaptive Experimental Design and Counterfactual Inference

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Oct 25, 2022
Tanner Fiez, Sergio Gamez, Arick Chen, Houssam Nassif, Lalit Jain

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Instance-optimal PAC Algorithms for Contextual Bandits

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Jul 05, 2022
Zhaoqi Li, Lillian Ratliff, Houssam Nassif, Kevin Jamieson, Lalit Jain

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Active Learning with Safety Constraints

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Jun 22, 2022
Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin Jamieson

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