Dhanya Sridhar

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Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Victor VeitchUniversity of Chicago, GoogleVerified email at uchicago.edu
Marilyn WalkerProfessor of Computer Science and Engineering, University of California Santa CruzVerified email at ucsc.edu
Shobeir FakhraeiSenior Machine Learning Scientist, AmazonVerified email at amazon.com
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceVerified email at vt.edu
James FouldsUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Reid PryzantMicrosoftVerified email at stanford.edu
Jay PujaraResearch Assistant Professor, University of Southern CaliforniaVerified email at cs.umd.edu
Yixin WangUniversity of MichiganVerified email at umich.edu
Roi ReichartTechnion - Israel Institute of TechnologyVerified email at ie.technion.ac.il
Zach Wood-DoughtyNorthwestern UniversityVerified email at northwestern.edu
Brandon M. StewartPrinceton UniversityVerified email at princeton.edu
Jacob EisensteinGoogle ResearchVerified email at google.com
Katherine A. KeithAssistant Professor, Williams CollegeVerified email at williams.edu
Justin GrimmerProfessor of Political Science. Senior Fellow, Hoover Institution. Stanford UniversityVerified email at stanford.edu
Diyi YangGeorgia TechVerified email at cc.gatech.edu
Amir FederColumbia University, GoogleVerified email at campus.technion.ac.il
Emaad ManzoorAssistant Professor, University of Wisconsin - MadisonVerified email at cornell.edu
Margaret E. RobertsPolitical Science, University of California San DiegoVerified email at ucsd.edu

Dhanya Sridhar

University of Montreal, Mila

Verified email at mila.quebec - Homepage

Applied Causality Probabilistic Machine Learning


Title Sort by citations Sort by year Sort by 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	142	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	102	2014
A probabilistic approach for collective similarity-based drug–drug interaction prediction D Sridhar, S Fakhraei, L Getoor Bioinformatics 32 (20), 3175-3182, 2016	85	2016
Adapting Text Embeddings for Causal Inference V Veitch, D Sridhar, D Blei Conference on Uncertainty in Artificial Intelligence, 919-928, 2020	43	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	36	2021
Estimating Causal Effects of Tone in Online Debates D Sridhar, L Getoor arXiv preprint arXiv:1906.04177, 2019	21	2019
Causal Effects of Linguistic Properties R Pryzant, D Card, D Jurafsky, V Veitch, D Sridhar arXiv preprint arXiv:2010.12919, 2020	18	2020
Using text embeddings for causal inference V Veitch, D Sridhar, DM Blei	16	2019
Scalable structure learning for probabilistic soft logic V Embar, D Sridhar, G Farnadi, L Getoor arXiv preprint arXiv:1807.00973, 2018	14	2018
Equal Opportunity and Affirmative Action via Counterfactual Predictions Y Wang, D Sridhar, DM Blei arXiv preprint arXiv:1905.10870, 2019	13	2019
A Structured Approach to Understanding Recovery and Relapse in AA Y Zhang, A Ramesh, J Golbeck, D Sridhar, L Getoor	12	2018
Valid causal inference with (some) invalid instruments JS Hartford, V Veitch, D Sridhar, K Leyton-Brown International Conference on Machine Learning, 4096-4106, 2021	9	2021
Scalable probabilistic causal structure discovery D Sridhar, J Pujara, L Getoor International Joint Conference on Artificial Intelligence (IJCAI), 2018	6	2018
Identifiable Variational Autoencoders via Sparse Decoding GE Moran, D Sridhar, Y Wang, DM Blei arXiv preprint arXiv:2110.10804, 2021	5	2021
Joint Probabilistic Inference of Causal Structure D Sridhar, L Getoor ACM SIGKDD International Conference on Knowledge Discovery and Data Mining …, 2016	5	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	4	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	3	2020
Using Noisy Extractions to Discover Causal Knowledge D Sridhar, J Pujara, L Getoor NIPS Workshop on Automated Knowledge Base Construction, 2017	3	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	2	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	2	2016

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