Jamieson, Kevin G.

25 publications

NeurIPS 2023 Active Representation Learning for General Task Space with Applications in Robotics Yifang Chen, Yingbing Huang, Simon S Du, Kevin G. Jamieson, Guanya Shi

NeurIPS 2023 Optimal Exploration for Model-Based RL in Nonlinear Systems Andrew Wagenmaker, Guanya Shi, Kevin G. Jamieson

NeurIPS 2022 Active Learning with Safety Constraints Romain Camilleri, Andrew Wagenmaker, Jamie H Morgenstern, Lalit Jain, Kevin G. Jamieson

NeurIPS 2022 Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design Andrew Wagenmaker, Kevin G. Jamieson

NeurIPS 2022 Instance-Optimal PAC Algorithms for Contextual Bandits Zhaoqi Li, Lillian Ratliff, Houssam Nassif, Kevin G. Jamieson, Lalit Jain

NeurIPS 2021 Corruption Robust Active Learning Yifang Chen, Simon S Du, Kevin G. Jamieson

NeurIPS 2021 Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers Julian Katz-Samuels, Blake Mason, Kevin G. Jamieson, Rob Nowak

NeurIPS 2021 Selective Sampling for Online Best-Arm Identification Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin G. Jamieson

NeurIPS 2020 An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits Julian Katz-Samuels, Lalit Jain, Zohar Karnin, Kevin G. Jamieson

NeurIPS 2019 A New Perspective on Pool-Based Active Classification and False-Discovery Control Lalit Jain, Kevin G. Jamieson

NeurIPS 2019 Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs Max Simchowitz, Kevin G. Jamieson

NeurIPS 2019 Sequential Experimental Design for Transductive Linear Bandits Tanner Fiez, Lalit Jain, Kevin G. Jamieson, Lillian Ratliff

NeurIPS 2018 A Bandit Approach to Sequential Experimental Design with False Discovery Control Kevin G. Jamieson, Lalit Jain

NeurIPS 2017 A Framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control Fanny Yang, Aaditya Ramdas, Kevin G. Jamieson, Martin J. Wainwright

ICLR 2017 Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

COLT 2016 Best-of-K-Bandits Max Simchowitz, Kevin G. Jamieson, Benjamin Recht

NeurIPS 2016 Finite Sample Prediction and Recovery Bounds for Ordinal Embedding Lalit Jain, Kevin G. Jamieson, Rob Nowak

AISTATS 2016 Non-Stochastic Best Arm Identification and Hyperparameter Optimization Kevin G. Jamieson, Ameet Talwalkar

NeurIPS 2016 The Power of Adaptivity in Identifying Statistical Alternatives Kevin G. Jamieson, Daniel Haas, Benjamin Recht

AISTATS 2016 Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls Kwang-Sung Jun, Kevin G. Jamieson, Robert D. Nowak, Xiaojin Zhu

NeurIPS 2015 NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning Kevin G. Jamieson, Lalit Jain, Chris Fernandez, Nicholas J. Glattard, Rob Nowak

AISTATS 2015 Sparse Dueling Bandits Kevin G. Jamieson, Sumeet Katariya, Atul Deshpande, Robert D. Nowak

COLT 2014 Lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits Kevin G. Jamieson, Matthew Malloy, Robert D. Nowak, Sébastien Bubeck

NeurIPS 2012 Query Complexity of Derivative-Free Optimization Kevin G. Jamieson, Robert Nowak, Ben Recht

NeurIPS 2011 Active Ranking Using Pairwise Comparisons Kevin G. Jamieson, Robert Nowak