| 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 | 181 | 2022 |
| Joint models of disagreement and stance in online debate D Sridhar, J Foulds, B Huang, L Getoor, M Walker Proceedings of the 53rd Annual Meeting of the Association for Computational …, 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 | 123 | 2016 |
| Adapting text embeddings for causal inference V Veitch, D Sridhar, D Blei Conference on uncertainty in artificial intelligence, 919-928, 2020 | 119 | 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 |
| 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 |
| Identifiable deep generative models via sparse decoding GE Moran, D Sridhar, Y Wang, DM Blei arXiv preprint arXiv:2110.10804, 2021 | 35 | 2021 |
| 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 |
| Identifiable variational autoencoders via sparse decoding GE Moran, D Sridhar, Y Wang, DM Blei arXiv preprint arXiv:2110.10804 9, 2021 | 17 | 2021 |
| 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 Proceedings of the 2018 World Wide Web Conference, 1205-1214, 2018 | 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 |
