About
I recently completed a PhD in Computer Science at Columbia, where I was 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: