基本信息
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职业迁徙
个人简介
I develop machine learning methods to perform efficient optimization and experimental design in costly real-world settings, where resources are limited. My work spans topics in active learning, uncertainty quantification, Bayesian decision making, and reinforcement learning. I apply these methods downstream to solve problems in science and engineering, for example in the physical sciences and machine learning systems.
研究兴趣
论文共 78 篇作者统计合作学者相似作者
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arxiv(2024)
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AAAI 2024no. 1 (2024): 320-328
Viraj Mehta,Jayson Barr, Joseph Abbate, Mark D. Boyer,Ian Char,Willie Neiswanger, Egemen Kolemen,Jeff Schneider
Sara Ayoub Miskovich,Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes,Stefano Ermon,Auralee Edelen,Daniel Ratner
MACHINE LEARNING-SCIENCE AND TECHNOLOGYno. 1 (2024): 015004
Zhiqiang Shen, Tianhua Tao, Liqun Ma,Willie Neiswanger, Joel Hestness,Natalia Vassilieva,Daria Soboleva,Eric Xing
CoRR (2023)
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Viraj Mehta, Vikramjeet Das, Ojash Neopane, Yijia Dai,Ilija Bogunovic,Jeff Schneider,Willie Neiswanger
CoRR (2023)
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CoRR (2023)
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