Heterogeneous Supervised Topic Models
Dhanya Sridhar, Hal Daumé, D. Blei
Transactions of the Association for Computational Linguistics, 2022
Elliot I. Layne, Dhanya Sridhar, Jason S. Hartford, M. Blanchette
2022
Identifiable Deep Generative Models via Sparse Decoding
Gemma E. Moran, Dhanya Sridhar, Yixin Wang, D. Blei
Transactions of Machine Learning Research, To Appear, 2022
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder, Katherine A. Keith, Emaad A. Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M Stewart, Victor Veitch, Diyi Yang
ArXiv, 2021
Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections
A. Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey M. Quinn, James Moffet, D. Blei, D. Green
WWW, 2021
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
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
Assessing the Effects of Friend-to-Friend Texting on Turnout in the 2018 US Midterm Elections
Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, James Moffet, David M. Blei, Donald P. Green
The Web Conference, 2021 Mar 18, pp. 2025-2036
Adapting Text Embeddings for Causal Inference
Victor Veitch, Dhanya Sridhar, David M. Blei
Uncertainty in Artificial Intelligence, 2020 Jul 26, pp. 919-928
Estimating Causal Effects of Tone in Online Debates
Dhanya Sridhar, Lise Getoor
International Joint Conference on Artificial Intelligence, 2019 Jun 31, pp. 1872-1878
Equal Opportunity and Affirmative Action via Counterfactual Predictions.
Yixin Wang, Dhanya Sridhar, David M. Blei
arXiv: Machine Learning, 2019 Apr 25
Estimating Causal Effects of Exercise from Mood Logging Data
Dhanya Sridhar, Aaron Springer, Victoria Hollis, S. Whittaker, L. Getoor
2018
Scalable Structure Learning for Probabilistic Soft Logic
Varun R. Embar, Dhanya Sridhar, G. Farnadi, L. Getoor
ArXiv, 2018
A Structured Approach to Understanding Recovery and Relapse in AA
Yue Zhang, Arti Ramesh, J. Golbeck, Dhanya Sridhar, L. Getoor
WWW, 2018
Using Noisy Extractions to Discover Causal Knowledge
Dhanya Sridhar, J. Pujara, L. Getoor
AKBC@NIPS, 2017
A probabilistic approach for collective similarity-based drug-drug interaction prediction
Dhanya Sridhar, Shobeir Fakhraei, L. Getoor
Bioinform., 2016
A probabilistic approach for collective similarity-based drug-drug interaction prediction.
Dhanya Sridhar, Shobeir Fakhraei, Lise Getoor
Bioinformatics, vol. 32(20), 2016 Sep 14, pp. 3175-3182
Joint Models of Disagreement and Stance in Online Debate
Dhanya Sridhar, James Foulds, Bert Huang, Lise Getoor, Marilyn Walker
International Joint Conference on Natural Language Processing, vol. 1, 2015 May 30, pp. 116-125
