Julian Katz-Samuels

36 papers A* 10A 5Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following.
CoRR
Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Awadalla, Manaal Faruqui
2025 — conf
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs.
ACL (1)
Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi
2025 J jnl
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs.
CoRR
Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi
2025 J jnl
Dual-Weighted Reinforcement Learning for Generative Preference Modeling.
CoRR
Shengyu Feng, Yun He, Shuang Ma, Beibin Li, Yuanhao Xiong, Songlin Li, Karishma Mandyam, Julian Katz-Samuels, Shengjie Bi, Licheng Yu, Hejia Zhang, Karthik Abinav Sankararaman, Han Fang, Riham Mansour, Yiming Yang, Manaal Faruqui
2025 — conf
InfoPO: On Mutual Information Maximization for Large Language Model Alignment.
NAACL (Long Papers)
Teng Xiao, Zhen Ge, Sujay Sanghavi, Tian Wang, Julian Katz-Samuels, Marc Versage, Qingjun Cui, Trishul Chilimbi
2025 J jnl
InfoPO: On Mutual Information Maximization for Large Language Model Alignment.
CoRR
Teng Xiao, Zhen Ge, Sujay Sanghavi, Tian Wang, Julian Katz-Samuels, Marc Versage, Qingjun Cui, Trishul Chilimbi
2024 — conf
Evolutionary Contrastive Distillation for Language Model Alignment.
EMNLP (Findings)
Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi
2024 J jnl
Evolutionary Contrastive Distillation for Language Model Alignment.
CoRR
Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi
2024 A* conf
HYPO: Hyperspherical Out-Of-Distribution Generalization.
ICLR
Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li
2024 J jnl
HYPO: Hyperspherical Out-of-Distribution Generalization.
CoRR
Yifei Ming, Haoyue Bai, Julian Katz-Samuels, Yixuan Li
2022 A* conf
GALAXY: Graph-based Active Learning at the Extreme.
ICML
Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak
2022 J jnl
GALAXY: Graph-based Active Learning at the Extreme.
CoRR
Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak
2022 A conf
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits.
AISTATS
Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak
2022 A* conf
Similarity Search for Efficient Active Learning and Search of Rare Concepts.
AAAI
Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz
2022 A* conf
Training OOD Detectors in their Natural Habitats.
ICML
Julian Katz-Samuels, Julia B. Nakhleh, Robert D. Nowak, Yixuan Li
2022 J jnl
Training OOD Detectors in their Natural Habitats.
CoRR
Julian Katz-Samuels, Julia B. Nakhleh, Robert Nowak, Yixuan Li
2021 A conf
Experimental Design for Regret Minimization in Linear Bandits.
AISTATS
Andrew Wagenmaker, Julian Katz-Samuels, Kevin Jamieson
2021 J jnl
High-Dimensional Experimental Design and Kernel Bandits.
CoRR
Romain Camilleri, Julian Katz-Samuels, Kevin Jamieson
2021 A* conf
High-dimensional Experimental Design and Kernel Bandits.
ICML
Romain Camilleri, Kevin Jamieson, Julian Katz-Samuels
2021 A* conf
Improved Algorithms for Agnostic Pool-based Active Classification.
ICML
Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson
2021 J jnl
Improved Algorithms for Agnostic Pool-based Active Classification.
CoRR
Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson
2021 J jnl
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits.
CoRR
Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak
2021 A* conf
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers.
NeurIPS
Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Robert Nowak
2021 J jnl
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers.
CoRR
Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Robert D. Nowak
2020 A* conf
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits.
NeurIPS
Julian Katz-Samuels, Lalit Jain, Zohar S. Karnin, Kevin Jamieson
2020 J jnl
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits.
CoRR
Julian Katz-Samuels, Lalit Jain, Zohar S. Karnin, Kevin Jamieson
2020 J jnl
Experimental Design for Regret Minimization in Linear Bandits.
CoRR
Andrew Wagenmaker, Julian Katz-Samuels, Kevin Jamieson
2020 A conf
The True Sample Complexity of Identifying Good Arms.
AISTATS
Julian Katz-Samuels, Kevin Jamieson
2019 J jnl
Decontamination of Mutual Contamination Models.
J. Mach. Learn. Res.
Julian Katz-Samuels, Gilles Blanchard, Clayton Scott
2019 J jnl
The True Sample Complexity of Identifying Good Arms.
CoRR
Julian Katz-Samuels, Kevin Jamieson
2019 A conf
Top Feasible Arm Identification.
AISTATS
Julian Katz-Samuels, Clayton Scott
2018 A* conf
Feasible Arm Identification.
ICML
Julian Katz-Samuels, Clayton Scott
2018 A conf
Nonparametric Preference Completion.
AISTATS
Julian Katz-Samuels, Clayton Scott
2018 — conf
Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization.
SSP
Dejiao Zhang, Julian Katz-Samuels, Mário A. T. Figueiredo, Laura Balzano
2017 J jnl
Nonparametric Preference Completion.
CoRR
Julian Katz-Samuels, Clayton Scott
2016 A* conf
The Legislative Influence Detector: Finding Text Reuse in State Legislation.
KDD
Matthew Burgess, Eugenia Giraudy, Julian Katz-Samuels, Joe Walsh, Derek Willis, Lauren Haynes, Rayid Ghani