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Kelly W. Zhang
Assistant Professor, Imperial College London
Joined
December 2016
Names
Kelly W. Zhang
(Preferred)
,
Kelly Zhang
,
Kelly Wang Zhang
Emails
****@nyu.edu
(Confirmed)
,
****@seas.harvard.edu
(Confirmed)
,
****@columbia.edu
(Confirmed)
,
****@columbia.edu
(Confirmed)
,
****@imperial.ac.uk
(Confirmed)
Personal Links
Homepage
DBLP
Career & Education History
Assistant Professor
Imperial College London
(imperial.ac.uk)
2024
–
Present
Postdoc
Columbia University
(columbia.edu)
2023
–
2024
PhD student
School of Engineering and Applied Sciences, Harvard University
(seas.harvard.edu)
2018
–
2023
Intern
Apple
(apple.com)
2022
–
2022
Undergrad student
New York University
(nyu.edu)
2016
–
2018
Advisors, Relations & Conflicts
Postdoc Advisor
Daniel Russo
2023
–
2024
Postdoc Advisor
Hongseok Namkoong
2023
–
2024
PhD Advisor
Susan A. Murphy
2019
–
2023
PhD Advisor
Lucas Janson
2019
–
2023
Advisor
Alexander M. Rush
2018
–
2019
Advisor
Yann LeCun
2017
–
2018
Advisor
Sam Bowman
2016
–
2018
Expertise
No areas of expertise listed
Publications
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines
Anna L. Trella
,
Kelly W. Zhang
,
Inbal Nahum-Shani
,
Vivek Shetty
,
Finale Doshi-Velez
,
Susan A. Murphy
2022 (modified: 17 Apr 2023)
CoRR 2022
Readers:
Everyone
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines
Anna L. Trella
,
Kelly W. Zhang
,
Inbal Nahum-Shani
,
Vivek Shetty
,
Finale Doshi-Velez
,
Susan A. Murphy
2022 (modified: 17 Apr 2023)
Algorithms 2022
Readers:
Everyone
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Anna L. Trella
,
Kelly W. Zhang
,
Inbal Nahum-Shani
,
Vivek Shetty
,
Finale Doshi-Velez
,
Susan A. Murphy
2022 (modified: 17 Apr 2023)
CoRR 2022
Readers:
Everyone
Statistical Inference After Adaptive Sampling in Non-Markovian Environments
Kelly W. Zhang
,
Lucas Janson
,
Susan A. Murphy
2022 (modified: 17 Apr 2023)
CoRR 2022
Readers:
Everyone
A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes
Kelly W. Zhang
,
Omer Gottesman
,
Finale Doshi-Velez
2022 (modified: 17 Apr 2023)
CoRR 2022
Readers:
Everyone
Statistical Inference with M-Estimators on Adaptively Collected Data
Kelly Wang Zhang
,
Lucas Janson
,
Susan Murphy
Published: 09 Nov 2021, Last Modified: 05 May 2023
NeurIPS 2021 Poster
Readers:
Everyone
Statistical Inference with M-Estimators on Bandit Data
Kelly W. Zhang
,
Lucas Janson
,
Susan A. Murphy
2021 (modified: 17 Apr 2023)
CoRR 2021
Readers:
Everyone
Statistical Inference with M-Estimators on Adaptively Collected Data
Kelly W. Zhang
,
Lucas Janson
,
Susan A. Murphy
2021 (modified: 17 Apr 2023)
NeurIPS 2021
Readers:
Everyone
Inference for Batched Bandits
Kelly W. Zhang
,
Lucas Janson
,
Susan A. Murphy
2020 (modified: 17 Apr 2023)
CoRR 2020
Readers:
Everyone
Inference for Batched Bandits
Kelly W. Zhang
,
Lucas Janson
,
Susan A. Murphy
2020 (modified: 17 Apr 2023)
NeurIPS 2020
Readers:
Everyone
View all 12 publications
Co-Authors
Alexander M. Rush
Anna L. Trella
Finale Doshi-Velez
Inbal Nahum-Shani
Junbo Jake Zhao
Lucas Janson
Omer Gottesman
Samuel R. Bowman
Susan A. Murphy
Susan Murphy
Vivek Shetty
Yann LeCun
Yoon Kim