Research
Selected projects.
Full-Stack Fine-Tuning for the Q Programming Language
Technical Report | 2025
Brendan R. Hogan, William Brown, Adel Boyarsky, Anderson Schneider, Yuriy Nevmyvaka
Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Credit Assignment
Workshop | ICML Workshop on Computer Use Agents 2025
Siliang Zeng, Quan Wei, William Brown, Oana Frunza, Yuriy Nevmyvaka, Mingyi Hong
Clustering and Entity Matching via Language Model Community Detection
Technical Report | 2024
William Brown, Alexander Sabat, Adel Boyarsky, Rachel Cayale, Daniel DeDora, Yuriy Nevmyvaka, Nicholas Venuti
Online Stackelberg Optimization via Nonlinear Control
Conference | COLT 2024
William Brown, Christos Papadimitriou, Tim Roughgarden
Learning in the Presence of Adaptive Behavior
Thesis | Columbia University, 2024
William Brown
Online Recommendations for Agents with Discounted Adaptive Preferences
Conference | ALT 2024
Arpit Agarwal, William Brown
Is Learning in Games Good for the Learners?
Conference | NeurIPS 2023 (Spotlight)
William Brown, Jon Schneider, Kiran Vodrahalli
Online Portfolio Selection with Adversarial Transaction Costs
Preprint
William Brown, Yikai Zhang
Diversified Recommendations for Agents with Adaptive Preferences
Conference | NeurIPS 2022
Arpit Agarwal, William Brown
Private Synthetic Data for Multitask Learning and Marginal Queries
Conference | NeurIPS 2022
Giuseppe Vietri, Cedric Archambeau, Sergul Aydore, William Brown, Michael Kearns, Aaron Roth, Ankit Siva, Shuai Tang, Steven Wu
Differentially Private Query Release Through Adaptive Projection
Conference | ICML 2021 (Oral)
Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva
Targeted Intervention in Random Graphs
Conference | SAGT 2020
William Brown, Utkarsh Patange