Dhanya Sridhar

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Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzDirección de correo verificada de ucsc.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityDirección de correo verificada de columbia.edu
Victor VeitchUniversity of Chicago, GoogleDirección de correo verificada de uchicago.edu
Marilyn WalkerProfessor of Computer Science and Engineering, University of California Santa CruzDirección de correo verificada de ucsc.edu
Reid PryzantMicrosoftDirección de correo verificada de stanford.edu
Yixin WangUniversity of MichiganDirección de correo verificada de umich.edu
Shobeir FakhraeiSenior Machine Learning Scientist, AmazonDirección de correo verificada de amazon.com
Roi ReichartTechnion - Israel Institute of TechnologyDirección de correo verificada de ie.technion.ac.il
Zach Wood-DoughtyNorthwestern UniversityDirección de correo verificada de northwestern.edu
Brandon M. StewartPrinceton UniversityDirección de correo verificada de princeton.edu
Jacob EisensteinGoogle ResearchDirección de correo verificada de google.com
Katherine A. KeithAssistant Professor, Williams CollegeDirección de correo verificada de williams.edu
Justin GrimmerMorris M. Doyle Centennial Professor. Senior Fellow, Hoover Institution. Stanford UniversityDirección de correo verificada de stanford.edu
Diyi YangStanford UniversityDirección de correo verificada de stanford.edu
Amir FederColumbia University, GoogleDirección de correo verificada de columbia.edu
Emaad ManzoorAssistant Professor of Marketing, Cornell UniversityDirección de correo verificada de cornell.edu
Margaret E. RobertsPolitical Science, University of California San DiegoDirección de correo verificada de ucsd.edu
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceDirección de correo verificada de vt.edu
James FouldsUniversity of Maryland, Baltimore CountyDirección de correo verificada de umbc.edu
Gemma MoranAssistant Professor of Statistics, Rutgers UniversityDirección de correo verificada de stat.rutgers.edu

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Dhanya Sridhar

University of Montreal, Mila

Dirección de correo verificada de mila.quebec - Página principal

Applied Causality Probabilistic Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	175	2022
Joint Models of Disagreement and Stance in Online Debate. D Sridhar, JR Foulds, B Huang, L Getoor, MA Walker ACL (1), 116-125, 2015	160	2015
A probabilistic approach for collective similarity-based drug–drug interaction prediction D Sridhar, S Fakhraei, L Getoor Bioinformatics 32 (20), 3175-3182, 2016	122	2016
Adapting Text Embeddings for Causal Inference V Veitch, D Sridhar, D Blei Conference on Uncertainty in Artificial Intelligence, 919-928, 2020	118	2020
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	113	2014
Identifiable Deep Generative Models via Sparse Decoding GE Moran, D Sridhar, Y Wang, DM Blei arXiv preprint arXiv:2110.10804, 2021	50*	2021
Causal Effects of Linguistic Properties R Pryzant, D Card, D Jurafsky, V Veitch, D Sridhar arXiv preprint arXiv:2010.12919, 2020	38	2020
Estimating Causal Effects of Tone in Online Debates D Sridhar, L Getoor arXiv preprint arXiv:1906.04177, 2019	38	2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions Y Wang, D Sridhar, DM Blei arXiv preprint arXiv:1905.10870, 2019	21	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	20	2021
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	18	2022
Scalable structure learning for probabilistic soft logic V Embar, D Sridhar, G Farnadi, L Getoor arXiv preprint arXiv:1807.00973, 2018	15	2018
A Structured Approach to Understanding Recovery and Relapse in AA Y Zhang, A Ramesh, J Golbeck, D Sridhar, L Getoor	15	2018
Causal inference from text: A commentary D Sridhar, DM Blei Science Advances 8 (42), eade6585, 2022	7	2022
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	7	2020
Scalable probabilistic causal structure discovery D Sridhar, J Pujara, L Getoor International Joint Conference on Artificial Intelligence (IJCAI), 2018	7	2018
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	7	2018
Heterogeneous Supervised Topic Models D Sridhar, H Daumé III, D Blei Transactions of the Association for Computational Linguistics 10, 732-745, 2022	6	2022
Adaptive neighborhood graph construction for inference in multi-relational networks S Fakhraei, D Sridhar, J Pujara, L Getoor arXiv preprint arXiv:1607.00474, 2016	6	2016
Joint Probabilistic Inference of Causal Structure D Sridhar, L Getoor ACM SIGKDD International Conference on Knowledge Discovery and Data Mining …, 2016	4	2016

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