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Michael H. Chen
Publication Activity (10 Years)
Years Active: 2018-2020
Publications (10 Years): 5
Top Topics
Reinforcement Learning
Bandit Problems
Multiscale
Delayed Feedback
Top Venues
CoRR
AISTATS
ITSC
Nat.
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Publications
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Peter M. Attia
,
Aditya Grover
,
Norman Jin
,
Kristen A. Severson
,
Todor M. Markov
,
Yang-Hung Liao
,
Michael H. Chen
,
Bryan Cheong
,
Nicholas Perkins
,
Zi Yang
,
Patrick K. Herring
,
Muratahan Aykol
,
Stephen J. Harris
,
Richard D. Braatz
,
Stefano Ermon
,
William C. Chueh
Closed-loop optimization of fast-charging protocols for batteries with machine learning.
Nat.
578 (7795) (2020)
Aditya Grover
,
Todor M. Markov
,
Peter M. Attia
,
Norman Jin
,
Nicholas Perkins
,
Bryan Cheong
,
Michael H. Chen
,
Zi Yang
,
Stephen J. Harris
,
William C. Chueh
,
Stefano Ermon
Best arm identification in multi-armed bandits with delayed feedback.
CoRR
(2018)
Aditya Grover
,
Todor M. Markov
,
Peter M. Attia
,
Norman Jin
,
Nicolas Perkins
,
Bryan Cheong
,
Michael H. Chen
,
Zi Yang
,
Stephen J. Harris
,
William C. Chueh
,
Stefano Ermon
Best arm identification in multi-armed bandits with delayed feedback.
AISTATS
(2018)
David Hallac
,
Suvrat Bhooshan
,
Michael H. Chen
,
Kacem Abida
,
Rok Sosic
,
Jure Leskovec
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data.
CoRR
(2018)
David Hallac
,
Suvrat Bhooshan
,
Michael H. Chen
,
Kacem Abida
,
Rok Sosic
,
Jure Leskovec
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data.
ITSC
(2018)