About

I'm an assistant professor in the department of Computer Science and Operations Research (DIRO) at the University of Montreal and a core academic member of Mila - Quebec Artificial Intelligence Institute. I'm fortunate to receive generous support as a Canada CIFAR AI Chair.

My research interests include:

Causal inference from text and networks
Probabilistic machine learning
Causal criteria for more reliable or fair ML methods

Selected Publications

Causal inference in natural language processing: Estimation, prediction, interpretation and beyond

Amir Feder, Katherine A Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E Roberts, others

arXiv preprint arXiv:2109.00725, 2021

On the Assumptions of Synthetic Control Methods

Claudia Shi, Dhanya Sridhar, Vishal Misra, David M Blei

arXiv preprint arXiv:2112.05671, 2021

Identifiable Variational Autoencoders via Sparse Decoding.

Gemma E. Moran, Dhanya Sridhar, Yixin Wang, David M. Blei

arXiv: Machine Learning, 2021 Sep 19

Valid Causal Inference with (Some) Invalid Instruments

Jason Hartford, Victor Veitch, Victor Veitch, Dhanya Sridhar, Kevin Leyton-Brown

International Conference on Machine Learning, 2021 Jun 17, pp. 4096-4106

Causal Effects of Linguistic Properties

Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar

North American Chapter of the Association for Computational Linguistics, 2021 Apr 31, pp. 4095-4109

View all

Courses

Causal inference and ML

IFT 6168, Winter 2022