William Brown

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Stochastic Games

Diagnostic Imaging

Geospatial Data

Multi Agent Decision Making

Top Venues

Publications

William Brown, Christos H. Papadimitriou, Tim Roughgarden
Online Stackelberg Optimization via Nonlinear Control. CoRR (2024)
William Brown, Christos H. Papadimitriou, Tim Roughgarden
Online Stackelberg Optimization via Nonlinear Control. COLT (2024)
William Brown, Arpit Agarwal
Online Recommendations for Agents with Discounted Adaptive Preferences. ALT (2024)
Caleb Gunsaulus, Carl De Vries, William Brown, Youngro Lee, Madhusudan Vijayakumar, Ossama Abdelkhalik
Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design. CoRR (2024)
Arpit Agarwal, William Brown
Online Recommendations for Agents with Discounted Adaptive Preferences. CoRR (2023)
Mohammed Zahid Hussain, William Brown, Qais Alsafasfeh
DC Arc Flash Above 1000 V Based on Statistical Regression Analysis. IAS (2023)
William Brown
How is the speed of code review affected by activity, usage and code quality? CoRR (2023)
William Brown, Jon Schneider, Kiran Vodrahalli
Is Learning in Games Good for the Learners? CoRR (2023)
William Brown, Jon Schneider, Kiran Vodrahalli
Is Learning in Games Good for the Learners? NeurIPS (2023)
Giuseppe Vietri, Cédric Archambeau, Sergül Aydore, William Brown, Michael Kearns, Aaron Roth, Amaresh Ankit Siva, Shuai Tang, Zhiwei Steven Wu
Private Synthetic Data for Multitask Learning and Marginal Queries. CoRR (2022)
William Brown
Learning in Multi-Player Stochastic Games. CoRR (2022)
Adam Tonks, Trevor Harris, Bo Li, William Brown, Rebecca Smith
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data. CoRR (2022)
William Brown, Arpit Agarwal
Diversified Recommendations for Agents with Adaptive Preferences. NeurIPS (2022)
Giuseppe Vietri, Cédric Archambeau, Sergül Aydöre, William Brown, Michael Kearns, Aaron Roth, Amaresh Ankit Siva, Shuai Tang, Zhiwei Steven Wu
Private Synthetic Data for Multitask Learning and Marginal Queries. NeurIPS (2022)
Arpit Agarwal, William Brown
Diversified Recommendations for Agents with Adaptive Preferences. CoRR (2022)
Smitha Ganeshan, Logan Pierce, Michelle Mourad, Timothy J. Judson, Marc D. Kohli, Anobel Y. Odisho, William Brown
Impact of patient portal-based self-scheduling of diagnostic imaging studies on health disparities. J. Am. Medical Informatics Assoc. 29 (12) (2022)
Ximing Zhou, Ling Ma, William Brown, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning. Medical Imaging: Digital Pathology (2021)
Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit A. Siva
Differentially Private Query Release Through Adaptive Projection. ICML (2021)
William Brown
Learning in Multi-Player Stochastic Games. UAI (2021)
Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit A. Siva
Differentially Private Query Release Through Adaptive Projection. CoRR (2021)