Katz-Samuels, Julian

15 publications

ICLR 2024 HYPO: Hyperspherical Out-of-Distribution Generalization Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li

AISTATS 2022 Near Instance Optimal Model Selection for Pure Exploration Linear Bandits Yinglun Zhu, Julian Katz-Samuels, Robert Nowak

ICML 2022 GALAXY: Graph-Based Active Learning at the Extreme Jifan Zhang, Julian Katz-Samuels, Robert Nowak

AAAI 2022 Similarity Search for Efficient Active Learning and Search of Rare Concepts Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz

ICML 2022 Training OOD Detectors in Their Natural Habitats Julian Katz-Samuels, Julia B Nakhleh, Robert Nowak, Yixuan Li

AISTATS 2021 Experimental Design for Regret Minimization in Linear Bandits Andrew Wagenmaker, Julian Katz-Samuels, Kevin Jamieson

ICML 2021 High-Dimensional Experimental Design and Kernel Bandits Romain Camilleri, Kevin Jamieson, Julian Katz-Samuels

ICML 2021 Improved Algorithms for Agnostic Pool-Based Active Classification Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin 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 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

AISTATS 2020 The True Sample Complexity of Identifying Good Arms Julian Katz-Samuels, Kevin Jamieson

JMLR 2019 Decontamination of Mutual Contamination Models Julian Katz-Samuels, Gilles Blanchard, Clayton Scott

AISTATS 2019 Top Feasible Arm Identification Julian Katz-Samuels, Clayton Scott

ICML 2018 Feasible Arm Identification Julian Katz-Samuels, Clay Scott

AISTATS 2018 Nonparametric Preference Completion Julian Katz-Samuels, Clayton Scott