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Mark K Ho
Assistant Professor, Psychology, New York University
Joined
July 2019
Names
Mark K Ho
(Preferred)
,
Mark K. Ho
Emails
****@princeton.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@berkeley.edu
(Confirmed)
,
****@nyu.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Career & Education History
Assistant Professor
Psychology,
New York University
(nyu.edu)
2024
–
Present
Assistant Professor
Computer Science,
Stevens Institute of Technology
(cs.stevens.edu)
2023
–
2024
Postdoc
Computer Science,
Princeton University
(princeton.edu)
2018
–
2022
Advisors, Relations & Conflicts
Coauthor
David Abel
2018
–
Present
Coauthor
Michael Littman
2015
–
Present
Postdoc Advisor
Thomas L. Griffiths
2018
–
2022
PhD Advisor
Joseph Austerweil
2013
–
2017
Expertise
Computational Cognitive Science
2012
–
Present
Publications
Integration of Language and Experience via the Instructed Bandit Task
Ellen Su
,
Mark K Ho
,
Todd M. Gureckis
Cognitive Science Conference
Readers:
Everyone
Do Large Language Models Mentalize When They Teach?
Sevan K Harootonian
,
Mark K Ho
,
Thomas L. Griffiths
,
Yael Niv
,
Ilia Sucholutsky
HCAIR 2026
Readers:
Everyone
Estimating cognitive biases with attention-aware inverse planning
Sounak Banerjee
,
Daphne Cornelisse
,
Deepak Edakkattil Gopinath
,
Emily Sumner
,
Jonathan DeCastro
,
Guy Rosman
,
Eugene Vinitsky
,
Mark K Ho
NeurIPS 2025 spotlight
Readers:
Everyone
Representational Alignment Supports Effective Teaching
Ilia Sucholutsky
,
Katherine M. Collins
,
Maya Malaviya
,
Nori Jacoby
,
Weiyang Liu
,
Theodore Sumers
,
Michalis Korakakis
,
Umang Bhatt
,
Mark K Ho
,
Joshua B. Tenenbaum
,
Bradley C. Love
,
Zachary Pardos
,
Adrian Weller
,
Thomas L. Griffiths
ICLR 2025 Bi-Align Workshop ICLROral
Readers:
Everyone
Modeling Cognitive Strategies in Teaching
Sevan K Harootonian
,
Yael Niv
,
Thomas L. Griffiths
,
Mark K Ho
NeurIPS 2024 Workshop IMOL Poster
Readers:
Everyone
Three Dogmas of Reinforcement Learning
David Abel
,
Mark K Ho
,
Anna Harutyunyan
RLC 2024
Readers:
Everyone
Concept Alignment as a Prerequisite for Value Alignment
Sunayana Rane
,
Mark K Ho
,
Ilia Sucholutsky
,
Thomas L. Griffiths
Submitted to ICLR 2024
Readers:
Everyone
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners
Yun-Shiuan Chuang
,
Xuezhou Zhang
,
Yuzhe Ma
,
Mark K Ho
,
Joseph Austerweil
,
Jerry Zhu
12 May 2023 (modified: 12 May 2023)
OpenReview Archive Direct Upload
Readers:
Everyone
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
Andi Peng
,
Aviv Netanyahu
,
Mark K Ho
,
Tianmin Shu
,
Andreea Bobu
,
Julie Shah
,
Pulkit Agrawal
ICML 2023 Poster
Readers:
Everyone
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
Dilip Arumugam
,
Mark K Ho
,
Noah Goodman
,
Benjamin Van Roy
Published: 21 Nov 2022, Last Modified: 05 May 2023
InfoCog @ NeurIPS 2022 Poster
Readers:
Everyone
View all 26 publications
Co-Authors
Adrian Weller
Andi Peng
Andreea Bobu
Anna Harutyunyan
Arunima Sarin
Ashish Tiwari
Aviv Netanyahu
Bei Peng
Benjamin Van Roy
Bradley C. Love
Carlos G. Correa
Daphne Cornelisse
David Abel
David L. Roberts
Deepak Edakkattil Gopinath
Dilip Arumugam
Doina Precup
Dylan Hadfield-Menell
Ellen Su
Emily Sumner
Eugene Vinitsky
Fiery Cushman
Fred Callaway
Guan Wang
Guy Rosman
View all 70 co-authors