OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
Marvin Mengxin Zhang
PhD student, University of California Berkeley
Joined
September 2018
Names
Marvin Mengxin Zhang
(Preferred)
,
Marvin Zhang
Emails
****@eecs.berkeley.edu
(Confirmed)
,
****@cs.berkeley.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
PhD student
University of California Berkeley
(berkeley.edu)
2016
–
Present
Undergrad student
University of California Berkeley
(berkeley.edu)
2012
–
2016
Advisors, Relations & Conflicts
PhD Advisor
Sergey Levine
2016
–
Present
PhD Advisor
Pieter Abbeel
2016
–
Present
Expertise
No areas of expertise listed
Publications
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Mengxin Zhang
,
Sergey Levine
,
Chelsea Finn
Published: 31 Oct 2022, Last Modified: 12 Jan 2023
NeurIPS 2022 Accept
Readers:
Everyone
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Mengxin Zhang
,
Sergey Levine
,
Chelsea Finn
Published: 02 Dec 2021, Last Modified: 05 May 2023
NeurIPS 2021 Workshop DistShift Poster
Readers:
Everyone
Test Time Robustification of Deep Models via Adaptation and Augmentation
Marvin Mengxin Zhang
,
Sergey Levine
,
Chelsea Finn
Published: 28 Jan 2022, Last Modified: 13 Feb 2023
ICLR 2022 Submitted
Readers:
Everyone
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Mengxin Zhang
,
Henrik Marklund
,
Nikita Dhawan
,
Abhishek Gupta
,
Sergey Levine
,
Chelsea Finn
Published: 09 Nov 2021, Last Modified: 26 May 2025
NeurIPS 2021 Poster
Readers:
Everyone
Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift
Marvin Mengxin Zhang
,
Henrik Marklund
,
Nikita Dhawan
,
Abhishek Gupta
,
Sergey Levine
,
Chelsea Finn
28 Sept 2020 (modified: 12 Oct 2025)
ICLR 2021 Conference Blind Submission
Readers:
Everyone
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
,
Shiori Sagawa
,
Henrik Marklund
,
Sang Michael Xie
,
Marvin Zhang
,
Akshay Balsubramani
,
Weihua Hu
,
Michihiro Yasunaga
,
Richard Lanas Phillips
,
Sara Beery
,
Jure Leskovec
,
Anshul Kundaje
,
Emma Pierson
,
Sergey Levine
,
Chelsea Finn
,
Percy Liang
2020 (modified: 12 May 2023)
CoRR 2020
Readers:
Everyone
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
,
Justin Fu
,
Marvin Zhang
,
Sergey Levine
2019 (modified: 12 May 2023)
NeurIPS 2019
Readers:
Everyone
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura Smith
,
Nikita Dhawan
,
Marvin Zhang
,
Pieter Abbeel
,
Sergey Levine
2019 (modified: 12 May 2023)
CoRR 2019
Readers:
Everyone
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
,
Justin Fu
,
Marvin Zhang
,
Sergey Levine
2019 (modified: 12 May 2023)
CoRR 2019
Readers:
Everyone
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
Marvin Zhang
,
Sharad Vikram
,
Laura Smith
,
Pieter Abbeel
,
Matthew J. Johnson
,
Sergey Levine
2019 (modified: 11 Nov 2022)
ICML 2019
Readers:
Everyone
View all 16 publications
Co-Authors
Abhishek Gupta
Akshay Balsubramani
Anshul Kundaje
Arvind Bhusnurmath
Baker Franke
Brian Hou
Chelsea Finn
Emma Pierson
Eric Manley
Gaurav S. Sukhatme
Henrik Marklund
John DeNero
Jonathan Bruce
Josh Hug
Julie Zelenski
Jure Leskovec
Justin Fu
Karen Her
Karol Hausman
Ken Caluwaerts
Kevin Wayne
Kristen Gee
Laura Smith
Massimo Vespignani
Matthew J. Johnson
View all 45 co-authors