| Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery EV Strobl, K Zhang, S Visweswaran Journal of Causal Inference 7 (1), 2018 | 130 | 2018 |
| Deep multiple kernel learning EV Strobl, S Visweswaran 2013 12th International Conference on Machine Learning and Applications 1 …, 2013 | 59 | 2013 |
| Impaired recognition and regulation of disgust is associated with distinct but partially overlapping patterns of decreased gray matter volume in the ventroanterior insula JD Woolley, EV Strobl, VE Sturm, T Shany-Ur, P Poorzand, S Grossman, ... Biological psychiatry 78 (7), 505-514, 2015 | 44 | 2015 |
| Fast causal inference with non-random missingness by test-wise deletion EV Strobl, S Visweswaran, PL Spirtes International journal of data science and analytics 6, 47-62, 2018 | 27 | 2018 |
| A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias EV Strobl International Journal of Data Science and Analytics, 1-24, 2018 | 26 | 2018 |
| Predicting the risk of psychosis onset: advances and prospects EV Strobl, SM Eack, V Swaminathan, S Visweswaran Early intervention in psychiatry 6 (4), 368-379, 2012 | 26 | 2012 |
| BDNF serum concentrations show no relationship with diagnostic group or medication status in neurodegenerative disease J D Woolley, E V Strobl, W B Shelly, A M Karydas, R N Robin Ketelle, ... Current Alzheimer Research 9 (7), 815-821, 2012 | 20 | 2012 |
| Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs EV Strobl Proceedings of Machine Learning Research 104, 100-133, 2019 | 13 | 2019 |
| Markov Blanket Ranking using Kernel-based Conditional Dependence Measures EV Strobl, S Visweswaran Cause Effect Pairs in Machine Learning, 2019 | 9 | 2019 |
| Estimating and controlling the false discovery rate for the PC algorithm using edge-specific p-values EV Strobl, PL Spirtes, S Visweswaran accepted to ACM TIST, 2016 | 7 | 2016 |
| Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model EV Strobl, TA Lasko arXiv preprint arXiv:2205.13085, 2022 | 6 | 2022 |
| Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values EV Strobl, PL Spirtes, S Visweswaran ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-37, 2019 | 6 | 2019 |
| Markov boundary discovery with ridge regularized linear models EV Strobl, S Visweswaran Journal of Causal inference 4 (1), 31-48, 2016 | 6 | 2016 |
| Causal Discovery Under Non-Stationary Feedback EV Strobl University of Pittsburgh, 2017 | 3 | 2017 |
| Generalizing Clinical Trials with Convex Hulls EV Strobl, TA Lasko Causal Learning and Reasoning, 2023 | 2 | 2023 |
| Dirac Delta Regression: Conditional Density Estimation with Clinical Trials EV Strobl, S Visweswaran Proceedings of Machine Learning Research 150, 78-125, 2021 | 2 | 2021 |
| Identifying Patient-Specific Root Causes of Disease EV Strobl, TA Lasko Proceedings of the 13th ACM Conference on Bioinformatics, Computational …, 2022 | 1 | 2022 |
| Synthesized Difference in Differences EV Strobl, TA Lasko Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021 | 1 | 2021 |
| Sample-Specific Root Causal Inference with Latent Variables EV Strobl, TA Lasko Causal Learning and Reasoning, 2023 | | 2023 |
| Causal Discovery with a Mixture of DAGs EV Strobl Machine Learning, 2022 | | 2022 |
