Negar Hassanpour

Athabasca Hall 1-50
Alberta Machine Intelligence Institute
Department of Computing Science
University of Alberta
Edmonton, Alberta, Canada
e-mail: hassanpo AT ualberta.ca

[Curriculum Vitae]

I am a PhD candidate working with Prof. Russell Greiner. My primary research interests are Counterfactual Reasoning and Off-policy Learning.


Education

9/2015 - Present Department of Computing Science, University of Alberta, Canada; Doctor of Philosophy
9/2012 - 8/2015 Department of Computer Science, University of Northern British Columbia, Canada; Master of Science
9/2007 - 7/2012 Department of Electrical and Computer Engineering, University of Tehran, Iran; Bachelor of Engineering

Selected Publications [Google Scholar]

Refereed Papers

Hassanpour, N.; Greiner, R.; , Learning Disentangled Representations for CounterFactual Regression. International Conference on Learning Representations (ICLR), April 27-30, 2020, Addis Ababa, Ethiopia. [link]
Hassanpour, N.; Greiner, R.; , CounterFactual Regression with Importance Sampling Weights. The 28th International Joint Conference on Artificial Intelligence (IJCAI), August 10-16, 2019, Macao, China. [link]
Hassanpour, N.; , Counterfactual Reasoning in Observational Studies. The 24th AAAI/SIGAI Doctoral Consortium, January 27 - February 1, 2019, Honolulu, Hawaii, USA. [link]
Hassanpour, N.; Greiner, R.; , A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits, The 31st Canadian Conference on Artificial Intelligence, May 8-11, 2018, Toronto, Canada, pp. 31-44. [link]
Chen, L.; Hassanpour, N.; , Survey: How good are the current advances in image set based face identification?–Experiments on three popular benchmarks with a naïve approach, Journal of Computer Vision and Image Understanding, Volume 160, July 2017, pp. 1-23.
Hassanpour, N.; Chen, L.; , A Quantum Probability Inspired Framework for Image-Set Based Face Identification, The 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG), May 30-June 3, 2017, Washington DC, USA, pp. 551-557.
Hassanpour, N.; Chen, L.; , A Hierarchical Training and Identification Method using Gaussian Process Models for Face Recognition in Videos, The 11th IEEE International Conference on Automatic Face & Gesture Recognition (FG), May 4-8, 2015, Ljubljana, Slovenia. [pdf]

Workshop Papers

Zhang, Z.; Lan, Q.; Ding, L.; Wang, Y.; Hassanpour, N.; Greiner, R.; , Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estima-tion. NeurIPS Workshop “Do the Right Thing”: Machine Learning and Causal Inference for Improved Decision Making, December 14, 2019, Vancouver, Canada. [link]
Wen, J.; Hassanpour, N.; Greiner, R.; , Weighted Gaussian Process for Estimating Treatment Effect, NIPS Workshop: What If? Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems, December 10th, 2016, Barcelona, Spain. [link]

Selected Awards

2016 - 2019 Natural Sciences and Engineering Research Council of Canada - Postgraduate Scholarships Doctoral Program (NSERC-PGSD)
2016 - 2019 University of Alberta President's Doctoral Prize of Distinction
2016 Governor General’s Academic Gold Medal [link]
2015 University of Alberta PhD Recruitment Award
2014 University of Northern British Columbia Graduate Scholarship

Professional Services

Reviewer FG 2015; NeurIPS 2016; ICLR 2020
Assisting Reviewer NeurIPS 2018, 2019; AAAI 2018

Relevant Courses

2016 Fall Introduction to Deep Learning (audit), University of Alberta, by Prof. Dale Schuurmans.
2016 Spring Probabilistic Graphical Models (A+), University of Alberta, by Prof. Russell Greiner.
2015 Fall Reinforcement Learning (A+), University of Alberta, by Prof. Richard Sutton.
2014 Fall Theory of Computation (A+), University of Northern British Columbia, by Prof. Liang Chen.
2013 Spring Machine Learning (A+), University of British Columbia, by Prof. Nando de Freitas.

Last modified: April 2020