Dhanya Sridhar

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Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Victor VeitchUniversity of Chicago, GoogleVerified email at uchicago.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.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
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. KeithPostdoctoral Young Investigator, Allen Institute for Artificial IntelligenceVerified email at cs.umass.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 FederTechnion - Israel Institute of Technology, GoogleVerified email at campus.technion.ac.il
Emaad ManzoorAssistant Professor, University of Wisconsin - MadisonVerified email at wisc.edu
Margaret E. RobertsPolitical Science, University of California San DiegoVerified email at ucsd.edu
Yixin WangUniversity of California, BerkeleyVerified email at eecs.berkeley.edu

Dhanya Sridhar

University of Montreal, Mila

Verified email at mila.quebec - Homepage

Applied Causality Probabilistic Machine Learning


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Joint Models of Disagreement and Stance in Online Debate. D Sridhar, JR Foulds, B Huang, L Getoor, MA Walker ACL (1), 116-125, 2015	135	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	97	2014
A probabilistic approach for collective similarity-based drug–drug interaction prediction D Sridhar, S Fakhraei, L Getoor Bioinformatics 32 (20), 3175-3182, 2016	78	2016
Adapting Text Embeddings for Causal Inference V Veitch, D Sridhar, D Blei Conference on Uncertainty in Artificial Intelligence, 919-928, 2020	47	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	25	2021
Estimating Causal Effects of Tone in Online Debates D Sridhar, L Getoor arXiv preprint arXiv:1906.04177, 2019	17	2019
Causal Effects of Linguistic Properties R Pryzant, D Card, D Jurafsky, V Veitch, D Sridhar arXiv preprint arXiv:2010.12919, 2020	15	2020
Scalable structure learning for probabilistic soft logic V Embar, D Sridhar, G Farnadi, L Getoor arXiv preprint arXiv:1807.00973, 2018	12	2018
A Structured Approach to Understanding Recovery and Relapse in AA Y Zhang, A Ramesh, J Golbeck, D Sridhar, L Getoor	10	2018
Equal Opportunity and Affirmative Action via Counterfactual Predictions Y Wang, D Sridhar, DM Blei arXiv preprint arXiv:1905.10870, 2019	8	2019
Valid causal inference with (some) invalid instruments JS Hartford, V Veitch, D Sridhar, K Leyton-Brown International Conference on Machine Learning, 4096-4106, 2021	6	2021
Joint Probabilistic Inference of Causal Structure D Sridhar, L Getoor ACM SIGKDD International Conference on Knowledge Discovery and Data Mining …, 2016	5	2016
Scalable Probabilistic Causal Structure Discovery. D Sridhar, J Pujara, L Getoor IJCAI, 5112-5118, 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
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	3	2018
Using Noisy Extractions to Discover Causal Knowledge D Sridhar, J Pujara, L Getoor NIPS Workshop on Automated Knowledge Base Construction, 2017	3	2017
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
Identifiable Variational Autoencoders via Sparse Decoding GE Moran, D Sridhar, Y Wang, DM Blei arXiv preprint arXiv:2110.10804, 2021	1	2021
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	1	2021
On the Assumptions of Synthetic Control Methods C Shi, D Sridhar, V Misra, DM Blei arXiv preprint arXiv:2112.05671, 2021		2021

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