Dhanya Sridhar
Dhanya Sridhar
University of Montreal, Mila
Verified email at - Homepage
Cited by
Cited by
Joint Models of Disagreement and Stance in Online Debate.
D Sridhar, JR Foulds, B Huang, L Getoor, MA Walker
ACL (1), 116-125, 2015
Collective stance classification of posts in online debate forums
D Sridhar, L Getoor, M Walker
Proceedings of the Joint Workshop on Social Dynamics and Personal Attributes …, 2014
A probabilistic approach for collective similarity-based drug–drug interaction prediction
D Sridhar, S Fakhraei, L Getoor
Bioinformatics 32 (20), 3175-3182, 2016
Adapting Text Embeddings for Causal Inference
V Veitch, D Sridhar, D Blei
Conference on Uncertainty in Artificial Intelligence, 919-928, 2020
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
A Feder, KA Keith, E Manzoor, R Pryzant, D Sridhar, Z Wood-Doughty, ...
arXiv preprint arXiv:2109.00725, 2021
Estimating Causal Effects of Tone in Online Debates
D Sridhar, L Getoor
arXiv preprint arXiv:1906.04177, 2019
Causal Effects of Linguistic Properties
R Pryzant, D Card, D Jurafsky, V Veitch, D Sridhar
arXiv preprint arXiv:2010.12919, 2020
Using text embeddings for causal inference
V Veitch, D Sridhar, DM Blei
Scalable structure learning for probabilistic soft logic
V Embar, D Sridhar, G Farnadi, L Getoor
arXiv preprint arXiv:1807.00973, 2018
Equal Opportunity and Affirmative Action via Counterfactual Predictions
Y Wang, D Sridhar, DM Blei
arXiv preprint arXiv:1905.10870, 2019
A Structured Approach to Understanding Recovery and Relapse in AA
Y Zhang, A Ramesh, J Golbeck, D Sridhar, L Getoor
Valid causal inference with (some) invalid instruments
JS Hartford, V Veitch, D Sridhar, K Leyton-Brown
International Conference on Machine Learning, 4096-4106, 2021
Scalable probabilistic causal structure discovery
D Sridhar, J Pujara, L Getoor
International Joint Conference on Artificial Intelligence (IJCAI), 2018
Identifiable Variational Autoencoders via Sparse Decoding
GE Moran, D Sridhar, Y Wang, DM Blei
arXiv preprint arXiv:2110.10804, 2021
Joint Probabilistic Inference of Causal Structure
D Sridhar, L Getoor
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining …, 2016
Estimating Causal Effects of Exercise from Mood Logging Data
D Sridhar, A Springer, V Hollis, S Whittaker, L Getoor
IJCAI/ICML Workshop on CausalML, 2018
A Digital Field Experiment Reveals Large Effects of Friend-to-Friend Texting on Voter Turnout
A Schein, K Vafa, D Sridhar, V Veitch, J Quinn, J Moffet, DM Blei, ...
Available at SSRN 3696179, 2020
Using Noisy Extractions to Discover Causal Knowledge
D Sridhar, J Pujara, L Getoor
NIPS Workshop on Automated Knowledge Base Construction, 2017
Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections
A Schein, K Vafa, D Sridhar, V Veitch, J Quinn, J Moffet, DM Blei, ...
Proceedings of the Web Conference 2021, 2025-2036, 2021
Adaptive neighborhood graph construction for inference in multi-relational networks
S Fakhraei, D Sridhar, J Pujara, L Getoor
arXiv preprint arXiv:1607.00474, 2016
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