William Brown

24 papers A* 5A 1B 1C 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
INTELLECT-3: Technical Report.
CoRR
Prime Intellect Team, Mika Senghaas, Fares Obeid, Sami Jaghouar, William Brown, Jack Min Ong, Daniel Auras, Matej Sirovatka, Jannik Straube, Andrew Baker, Sebastian Müller, Justus Mattern, Manveer Basra, Aiman Ismail, Dominik Scherm, Cooper Miller, Ameen Patel, Simon Kirsten, Mario Sieg, Christian Reetz, Kemal Erdem, Vincent Weisser, Johannes Hagemann
2025 J jnl
Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Credit Assignment.
CoRR
Siliang Zeng, Quan Wei, William Brown, Oana Frunza, Yuriy Nevmyvaka, Mingyi Hong
2024 — —
Learning in the Presence of Adaptive Behavior
William Brown
2024 B conf
Online Recommendations for Agents with Discounted Adaptive Preferences.
ALT
William Brown, Arpit Agarwal
2024 A* conf
Online Stackelberg Optimization via Nonlinear Control.
COLT
William Brown, Christos H. Papadimitriou, Tim Roughgarden
2024 J jnl
Online Stackelberg Optimization via Nonlinear Control.
CoRR
William Brown, Christos H. Papadimitriou, Tim Roughgarden
2024 J jnl
Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design.
CoRR
Caleb Gunsaulus, Carl De Vries, William Brown, Youngro Lee, Madhusudan Vijayakumar, Ossama Abdelkhalik
2024 C conf
Technical Considerations for Designing Battery Energy Storage Inverter as a Fully Functional Black Starting Resource.
IAS
Guruprasad Ramani, Mohammed Zahid Hussain, William Brown, Qais Alsafasfeh
2023 C conf
DC Arc Flash Above 1000 V Based on Statistical Regression Analysis.
IAS
Mohammed Zahid Hussain, William Brown, Qais Alsafasfeh
2023 J jnl
How is the speed of code review affected by activity, usage and code quality?
CoRR
William Brown
2023 A* conf
Is Learning in Games Good for the Learners?
NeurIPS
William Brown, Jon Schneider, Kiran Vodrahalli
2023 J jnl
Is Learning in Games Good for the Learners?
CoRR
William Brown, Jon Schneider, Kiran Vodrahalli
2023 J jnl
Online Recommendations for Agents with Discounted Adaptive Preferences.
CoRR
Arpit Agarwal, William Brown
2022 A* conf
Diversified Recommendations for Agents with Adaptive Preferences.
NeurIPS
William Brown, Arpit Agarwal
2022 J jnl
Diversified Recommendations for Agents with Adaptive Preferences.
CoRR
Arpit Agarwal, William Brown
2022 J jnl
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data.
CoRR
Adam Tonks, Trevor Harris, Bo Li, William Brown, Rebecca Smith
2022 J jnl
Impact of patient portal-based self-scheduling of diagnostic imaging studies on health disparities.
J. Am. Medical Informatics Assoc.
Smitha Ganeshan, Logan Pierce, Michelle Mourad, Timothy J. Judson, Marc D. Kohli, Anobel Y. Odisho, William Brown
2022 J jnl
Learning in Multi-Player Stochastic Games.
CoRR
William Brown
2022 A* conf
Private Synthetic Data for Multitask Learning and Marginal Queries.
NeurIPS
Giuseppe Vietri, Cédric Archambeau, Sergül Aydöre, William Brown, Michael Kearns, Aaron Roth, Amaresh Ankit Siva, Shuai Tang, Zhiwei Steven Wu
2022 J jnl
Private Synthetic Data for Multitask Learning and Marginal Queries.
CoRR
Giuseppe Vietri, Cédric Archambeau, Sergül Aydöre, William Brown, Michael Kearns, Aaron Roth, Amaresh Ankit Siva, Shuai Tang, Zhiwei Steven Wu
2021 — conf
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning.
Digital Pathology
Ximing Zhou, Ling Ma, William Brown, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei
2021 A* conf
Differentially Private Query Release Through Adaptive Projection.
ICML
Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva
2021 J jnl
Differentially Private Query Release Through Adaptive Projection.
CoRR
Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva
2021 A conf
Learning in Multi-Player Stochastic Games.
UAI
William Brown