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Dhanya Sridhar
Dhanya Sridhar
University of Montreal, Mila
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
Joint Models of Disagreement and Stance in Online Debate.
D Sridhar, JR Foulds, B Huang, L Getoor, MA Walker
ACL (1), 116-125, 2015
1472015
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
1032014
A probabilistic approach for collective similarity-based drug–drug interaction prediction
D Sridhar, S Fakhraei, L Getoor
Bioinformatics 32 (20), 3175-3182, 2016
882016
Causal inference in natural language processing: Estimation, prediction, interpretation and beyond
A Feder, KA Keith, E Manzoor, R Pryzant, D Sridhar, Z Wood-Doughty, ...
Transactions of the Association for Computational Linguistics 10, 1138-1158, 2022
522022
Adapting Text Embeddings for Causal Inference
V Veitch, D Sridhar, D Blei
Conference on Uncertainty in Artificial Intelligence, 919-928, 2020
502020
Estimating Causal Effects of Tone in Online Debates
D Sridhar, L Getoor
arXiv preprint arXiv:1906.04177, 2019
262019
Causal Effects of Linguistic Properties
R Pryzant, D Card, D Jurafsky, V Veitch, D Sridhar
arXiv preprint arXiv:2010.12919, 2020
232020
Using text embeddings for causal inference
V Veitch, D Sridhar, DM Blei
172019
Equal Opportunity and Affirmative Action via Counterfactual Predictions
Y Wang, D Sridhar, DM Blei
arXiv preprint arXiv:1905.10870, 2019
152019
Scalable structure learning for probabilistic soft logic
V Embar, D Sridhar, G Farnadi, L Getoor
arXiv preprint arXiv:1807.00973, 2018
142018
A Structured Approach to Understanding Recovery and Relapse in AA
Y Zhang, A Ramesh, J Golbeck, D Sridhar, L Getoor
132018
Valid causal inference with (some) invalid instruments
JS Hartford, V Veitch, D Sridhar, K Leyton-Brown
International Conference on Machine Learning, 4096-4106, 2021
112021
Identifiable Deep Generative Models via Sparse Decoding
GE Moran, D Sridhar, Y Wang, DM Blei
arXiv preprint arXiv:2110.10804, 2021
11*2021
Scalable probabilistic causal structure discovery
D Sridhar, J Pujara, L Getoor
International Joint Conference on Artificial Intelligence (IJCAI), 2018
72018
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
52020
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
52018
Joint Probabilistic Inference of Causal Structure
D Sridhar, L Getoor
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining …, 2016
52016
On the Assumptions of Synthetic Control Methods
C Shi, D Sridhar, V Misra, D Blei
International Conference on Artificial Intelligence and Statistics, 7163-7175, 2022
32022
Using Noisy Extractions to Discover Causal Knowledge
D Sridhar, J Pujara, L Getoor
NIPS Workshop on Automated Knowledge Base Construction, 2017
32017
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
22021
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