About
I'm a fifth-year Computer Science PhD candidate at Columbia, where I'm incredibly fortunate to be advised by
Christos Papadimitriou and
Tim Roughgarden in the
Theory group.
My research interests lie at the intersection of machine learning and game theory, with a focus on learning in the presence of strategic, adversarial, or otherwise dynamic behavior.
Previously, I graduated from Penn in 2019 with an MS in Data Science and a BS in Computer Science and Philosophy.
Publications
- Online Recommendations for Agents with Discounted Adaptive Preferences
Arpit Agarwal, William Brown
ALT 2024. [arXiv]
- Is Learning in Games Good for the Learners?
William Brown, Jon Schneider, Kiran Vodrahalli
NeurIPS 2023 (Spotlight). [arXiv] [talk]
- Diversified Recommendations for Agents with Adaptive Preferences
Arpit Agarwal, William Brown
NeurIPS 2022. [arXiv] [talk]
- Private Synthetic Data for Multitask Learning and Marginal Queries
Giuseppe Vietri, Cedric Archambeau, Sergul Aydore, William Brown, Michael Kearns, Aaron Roth, Ankit Siva, Shuai Tang, Steven Wu
NeurIPS 2022. [arXiv]
- Learning in Multi-Player Stochastic Games
William Brown
UAI 2021. [arXiv]
- Differentially Private Query Release Through Adaptive Projection
Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva
ICML 2021 (Long presentation). [arXiv] [talk]
- Targeted Intervention in Random Graphs
William Brown, Utkarsh Patange
SAGT 2020. [arXiv]
- Change Point Detection in Software Performance Testing
David Daly, William Brown, Henrik Ingo, Jim O'Leary, David Bradford
ICPE 2020. [arXiv] [blog]
Preprints
- Online Stackelberg Optimization via Nonlinear Control
William Brown, Christos Papadimitriou, Tim Roughgarden
In submission.
- Online Portfolio Selection with Adversarial Transaction Costs
William Brown, Yikai Zhang
In submission.
Experience
- Machine Learning Research - Morgan Stanley (2023 - )
- Applied Science - Amazon Web Services (2020 - 2022)
- Applied Research - Two Sigma Labs (Summer 2019)
- Data Engineering - Two Sigma (Summer 2018)
- Software Engineering - MongoDB (Summer 2017)
- Data Science - American Family Insurance (Summer 2016)
Teaching
Columbia:
- Teaching Assistant - COMS 6998-001: Foundations of Blockchains (Fall 2020)
Penn: