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ORCIDWilliam Brown
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- William Brown 0001 — Claremont Graduate School, Department of Psychology, CA, USA
- William Brown 0002 — Hewlett Packard Laboratories, Palo Alto, CA, USA
- William Brown 0003 — Minnesota State University, College of Business, Mankato, MN, USA
- William Brown 0004 — Columbia University, New York, NY, USA
- William Brown 0005 — Eötvös Loránd University, Department of Logic, Budapest, Hungary
- William Brown 0006
![[0000-0001-9045-9787]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9045-9787")
— British Geological Survey, Edinburgh Office, UK (and 1 more)
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2020 – today
- 2024
[c9]William Brown, Arpit Agarwal:
Online Recommendations for Agents with Discounted Adaptive Preferences. ALT 2024: 244-281- [c8]William Brown, Christos H. Papadimitriou, Tim Roughgarden:
Online Stackelberg Optimization via Nonlinear Control. COLT 2024: 697-749 - [i10]Caleb Gunsaulus, Carl De Vries, William Brown, Youngro Lee, Madhusudan Vijayakumar, Ossama Abdelkhalik:
Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design. CoRR abs/2401.16963 (2024) - [i9]William Brown, Christos H. Papadimitriou, Tim Roughgarden:
Online Stackelberg Optimization via Nonlinear Control. CoRR abs/2406.18805 (2024) - 2023
- [c7]Mohammed Zahid Hussain, William Brown, Qais Alsafasfeh:
DC Arc Flash Above 1000 V Based on Statistical Regression Analysis. IAS 2023: 1-6 - [c6]William Brown, Jon Schneider, Kiran Vodrahalli:
Is Learning in Games Good for the Learners? NeurIPS 2023 - [i8]Arpit Agarwal, William Brown:
Online Recommendations for Agents with Discounted Adaptive Preferences. CoRR abs/2302.06014 (2023) - [i7]William Brown:
How is the speed of code review affected by activity, usage and code quality? CoRR abs/2305.05770 (2023) - [i6]William Brown, Jon Schneider, Kiran Vodrahalli:
Is Learning in Games Good for the Learners? CoRR abs/2305.19496 (2023) - 2022
- [j1]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): 2096-2100 (2022) - [c5]William Brown, Arpit Agarwal:
Diversified Recommendations for Agents with Adaptive Preferences. NeurIPS 2022 - [c4]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 - [i5]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. CoRR abs/2209.07400 (2022) - [i4]Arpit Agarwal, William Brown:
Diversified Recommendations for Agents with Adaptive Preferences. CoRR abs/2210.07773 (2022) - [i3]William Brown:
Learning in Multi-Player Stochastic Games. CoRR abs/2210.14280 (2022) - [i2]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 abs/2212.11367 (2022) - 2021
- [c3]Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva:
Differentially Private Query Release Through Adaptive Projection. ICML 2021: 457-467 - [c2]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 - [c1]William Brown:
Learning in Multi-Player Stochastic Games. UAI 2021: 1927-1937 - [i1]Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva:
Differentially Private Query Release Through Adaptive Projection. CoRR abs/2103.06641 (2021)
Coauthor Index
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