The Legislative Influence Detector: Finding Text Reuse in State Legislation. - Matthew Burgess; Eugenia Giraudy; Julian Katz-Samuels; Joe Walsh; Derek Willis; Lauren Haynes; Rayid Ghani (KDD, 2016)

Nonparametric Preference Completion. - Julian Katz-Samuels; Clayton Scott (AISTATS, 2018)

Feasible Arm Identification. - Julian Katz-Samuels; Clayton Scott (ICML, 2018)

Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization. - Dejiao Zhang; Julian Katz-Samuels; Mário A. T. Figueiredo; Laura Balzano (SSP, 2018)

Top Feasible Arm Identification. - Julian Katz-Samuels; Clayton Scott (AISTATS, 2019)

Decontamination of Mutual Contamination Models. - Julian Katz-Samuels; Gilles Blanchard; Clayton Scott (J. Mach. Learn. Res., 2019)

The True Sample Complexity of Identifying Good Arms. - Julian Katz-Samuels; Kevin G. Jamieson (AISTATS, 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, 2020)

Experimental Design for Regret Minimization in Linear Bandits. - Andrew Wagenmaker; Julian Katz-Samuels; Kevin G. Jamieson (AISTATS, 2021)

High-dimensional Experimental Design and Kernel Bandits. - Romain Camilleri; Kevin Jamieson 001; Julian Katz-Samuels (ICML, 2021)

Improved Algorithms for Agnostic Pool-based Active Classification. - Julian Katz-Samuels; Jifan Zhang; Lalit Jain; Kevin Jamieson 001 (ICML, 2021)

Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers. - Julian Katz-Samuels; Blake Mason; Kevin G. Jamieson; Robert Nowak 001 (NeurIPS, 2021)

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 (AAAI, 2022)

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

Training OOD Detectors in their Natural Habitats. - Julian Katz-Samuels; Julia B. Nakhleh; Robert D. Nowak; Yixuan Li 001 (ICML, 2022)

GALAXY: Graph-based Active Learning at the Extreme. - Jifan Zhang; Julian Katz-Samuels; Robert D. Nowak (ICML, 2022)

Evolutionary Contrastive Distillation for Language Model Alignment. - Julian Katz-Samuels; Zheng Li 018; Hyokun Yun; Priyanka Nigam; Yi Xu 011; Vaclav Petricek; Bing Yin; Trishul Chilimbi (EMNLP (Findings), 2024)

HYPO: Hyperspherical Out-Of-Distribution Generalization. - Haoyue Bai 001; Yifei Ming; Julian Katz-Samuels; Yixuan Li 001 (ICLR, 2024)

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs. - Nicholas E. Corrado; Julian Katz-Samuels; Adithya M. Devraj; Hyokun Yun; Chao Zhang; Yi Xu 011; Yi Pan; Bing Yin; Trishul Chilimbi (ACL (1), 2025)

InfoPO: On Mutual Information Maximization for Large Language Model Alignment. - Teng Xiao; Zhen Ge; Sujay Sanghavi; Tian Wang; Julian Katz-Samuels; Marc Versage; Qingjun Cui; Trishul Chilimbi (NAACL (Long Papers), 2025)