← Authors

Julian Katz-Samuels

18 papers · 2018–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (7) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (5) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ’Ž Century Club (18) πŸ—ƒοΈ Keyword Collector (87) πŸ”₯ Unstoppable (5)

Conferences

AISTATS (5) ICML (5) NIPS (2) AAAI (1) ACL (1) EMNLP (1) ICLR (1) JMLR (1) NAACL (1)

Top co-authors

Robert Nowak (4) Kevin Jamieson (4) Clayton Scott (3) Trishul Chilimbi (3) Yixuan Li (2) Kevin G. Jamieson (2) Jifan Zhang (2) Lalit Jain (2) Hyokun Yun (2) Bing Yin (2)

Keywords

experimental design (4) direct preference optimization (3) pure exploration (3) sample complexity (3) linear bandit (3) multi-armed bandit (3) empirical process (2) preference datum (2) regret bound (2) upper confidence bound (2) version space (2) arm identification (2) active learning (2) regret minimization (2) best arm identification (2) constrained optimization (2) collaborative filtering (1) multi-task learning (1) model misspecification (1) similarity search (1)

Papers

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs ACL 2025
InfoPO: On Mutual Information Maximization for Large Language Model Alignment NAACL 2025
Evolutionary Contrastive Distillation for Language Model Alignment EMNLP 2024
HYPO: Hyperspherical Out-Of-Distribution Generalization ICLR 2024
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022
Training OOD Detectors in their Natural Habitats ICML 2022
GALAXY: Graph-based Active Learning at the Extreme ICML 2022
Similarity Search for Efficient Active Learning and Search of Rare Concepts AAAI 2022
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers NIPS 2021
Experimental Design for Regret Minimization in Linear Bandits AISTATS 2021
High-dimensional Experimental Design and Kernel Bandits ICML 2021
Improved Algorithms for Agnostic Pool-based Active Classification ICML 2021
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits NIPS 2020
The True Sample Complexity of Identifying Good Arms AISTATS 2020
Decontamination of Mutual Contamination Models JMLR 2019
Top Feasible Arm Identification AISTATS 2019
Feasible Arm Identification ICML 2018
Nonparametric Preference Completion AISTATS 2018