Eric V. Strobl
Eric V. Strobl
United States
Verified email at - Homepage
Cited by
Cited by
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
Deep multiple kernel learning
EV Strobl, S Visweswaran
2013 12th International Conference on Machine Learning and Applications 1 …, 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
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
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
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
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 (1), 47-62, 2018
Markov Blanket Ranking using Kernel-based Conditional Dependence Measures
EV Strobl, S Visweswaran
Cause Effect Pairs in Machine Learning, 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
Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs
EV Strobl
Proceedings of Machine Learning Research 104, 100-133, 2019
Markov boundary discovery with ridge regularized linear models
EV Strobl, S Visweswaran
Journal of Causal inference 4 (1), 31-48, 2016
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
Causal Discovery Under Non-Stationary Feedback
EV Strobl
University of Pittsburgh, 2017
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials
EV Strobl, S Visweswaran
Proceedings of Machine Learning Research 150, 78-125, 2021
The Global Markov Property for a Mixture of DAGs
EV Strobl
arXiv preprint arXiv:1909.05418, 2019
Synthesized Difference in Differences
EV Strobl, TA Lasko
Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021
Automated Hyperparameter Selection for the PC Algorithm
EV Strobl
Pattern Recognition Letters 151, 288-293, 2021
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