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Adaptive Experimental Design and Counterfactual Inference


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

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* In Workshops of the Conference on Recommender Systems (RecSys), 2022 

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Instance-optimal PAC Algorithms for Contextual Bandits


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

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Active Learning with Safety Constraints


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

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An Experimental Design Approach for Regret Minimization in Logistic Bandits


Feb 04, 2022
Blake Mason, Kwang-Sung Jun, Lalit Jain

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Nearly Optimal Algorithms for Level Set Estimation


Nov 02, 2021
Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert Nowak, Lalit Jain

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* 9 pages + appendices. 6 Figures 

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Selective Sampling for Online Best-arm Identification


Nov 02, 2021
Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin Jamieson

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* 42 pages, 2 figures, Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Improved Algorithms for Agnostic Pool-based Active Classification


May 13, 2021
Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson

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Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits


Nov 23, 2020
Kwang-Sung Jun, Lalit Jain, Houssam Nassif

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A New Perspective on Pool-Based Active Classification and False-Discovery Control


Aug 14, 2020
Lalit Jain, Kevin Jamieson

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* Published at Neurips 2019 

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Spectral Methods for Ranking with Scarce Data


Jul 02, 2020
Umang Varma, Lalit Jain, Anna C. Gilbert

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* To appear in Proceedings of Uncertainty in Artificial Intelligence (UAI) 2020 

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