基本信息
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Bio
I am a 4th year PhD student at Duke University, advised by Katherine A. Heller. I have been a visiting student researcher at UC Berkeley with Michael I. Jordan since August 2018. I have also been a student researcher at Google Brain since January 2019.
I am interested in the design and theoretical analysis of probabilistic inference algorithms. More generally, I strive to better understand uncertainty quantification which I believe is crucial for robust decision making and efficient lifelong learning in a dynamic environment mirroring our physical world.
Research Interests
Papers共 17 篇Author StatisticsCo-AuthorSimilar Experts
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Alexander D'Amour,Katherine Heller,Dan Moldovan,Ben Adlam,Babak Alipanahi,Alex Beutel,Christina Chen,Jonathan Deaton,Jacob Eisenstein,Matthew Hoffman,Farhad Hormozdiari,Neil Houlsby,Shaobo Hou,Ghassen Jerfel,Alan Karthikesalingam,Mario Lucic,Yian Ma,Cory McLean,Diana Mincu,Akinori Mitani,Andrea Montanari,Zachary Nado,Vivek Natarajan,Christopher Nielson,Thomas F. Osborne,Rajiv Raman,Kim Ramasamy,Rory sayres,Jessica Schrouff,Martin Seneviratne,Shannon Sequeira,Harini Suresh,Victor Veitch, Maksym Vladymyrov,Xuezhi Wang,Kellie Webster,Steve Yadlowsky,Taedong Yun,Xiaohua Zhai,D. Sculley
ICML 2023 (2023)
Journal of machine learning research (2022): 42:1-42:63
Zachary Nado,Neil Band,Mark Collier,Josip Djolonga,Michael W. Dusenberry,Sebastian Farquhar,Qixuan Feng,Angelos Filos,Marton Havasi,Rodolphe Jenatton,Ghassen Jerfel,Jeremiah Liu,Zelda Mariet,Jeremy Nixon,Shreyas Padhy,Jie Ren,Tim G. J. Rudner,Faris Sbahi,Yeming Wen,Florian Wenzel,Kevin Murphy,D. Sculley,Balaji Lakshminarayanan,Jasper Snoek,Yarin Gal,Dustin Tran
arXiv (Cornell University) (2021)
ICML Workshop on Uncertainty and Robustness in Deep Learning (2020)
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Author Statistics
#Papers: 17
#Citation: 1725
H-Index: 12
G-Index: 15
Sociability: 5
Diversity: 1
Activity: 4
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