I am Yangchen Pan (Google Scholar), a PhD candidate in the Department of Computing Science, University of Alberta. My PhD advisors are Dr. Martha White (University of Alberta) and Dr. Amir-massoud Farahmand (University of Toronto & Vector Institute). I am broadly interested in machine learning, deep learning, and reinforcement learning. My most recent work includes model-based reinforcement learning, representation learning, parametric modal regression.


Refereed Conference Publications

* indicates co-first authorship.

Preprints/Workshop/Work in progress

Academic Service

Conference Program Committee Member, Reviewer

NeurIPS 2018, 2020.
ICML 2019, 2021.
ICLR 2020, 2021.
AAAI 2019-2021.

Conference Sub-reviewer

NeurIPS 2020.
ICML 2018.
ICLR 2017, 2019.
AAAI 2017, 2018.
AAMAS 2018.

Journal Reviewer

Journal of Machine Learning Research (JMLR) 2020, one paper

Teaching Experiences

2019 Fall: CMPUT 466/566, Machine Learning, Teaching Assistant, University of Alberta

2019 Spring: CMPUT 272, Formal Systems and Logic in Computing Science, Teaching Assistant, University of Alberta

2016 Spring: CSCI C343, Data Structure, Associate Instructor, Indiana University at Bloomington

2015 Fall: CSCI B503, Algorithm Design and Analysis, Associate Instructor, Indiana University at Bloomington

2014 Fall: CSCI 1311 Discrete Structure I, Teaching Assistant, George Washington University

Working Experience

Research Intern at Huawei Technologies, Edmonton, AB, Canada, 05/2018-12/2018

Research Intern at Mitsubishi Electric Research Laboratories, Boston, MA, the United States, 05/2017-08/2017