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ORCIDEric V. Strobl
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2020 – today
- 2025
[i16]Marco Barbero Mota, John M. Still, Jorge L. Gamboa, Eric V. Strobl, Charles M. Stein, Vivian K. Kawai, Thomas A. Lasko:
A data-driven approach to discover and quantify systemic lupus erythematosus etiological heterogeneity from electronic health records. CoRR abs/2501.07206 (2025)- 2024
- [j9]Eric V. Strobl, Thomas A. Lasko
, Eric R. Gamazon:
Mitigating pathogenesis for target discovery and disease subtyping. Comput. Biol. Medicine 171: 108122 (2024) - [j8]Eric V. Strobl:
Counterfactual formulation of patient-specific root causes of disease. J. Biomed. Informatics 150: 104585 (2024) - [j7]Thomas A. Lasko, Eric V. Strobl, William W. Stead:
Why do probabilistic clinical models fail to transport between sites. npj Digit. Medicine 7(1) (2024) - [i15]Thomas A. Lasko, John M. Still, Thomas Z. Li, Marco Barbero Mota, William W. Stead, Eric V. Strobl, Bennett A. Landman, Fabien Maldonado:
Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence. CoRR abs/2402.05802 (2024) - 2023
- [j6]Eric V. Strobl, Thomas A. Lasko:
Identifying patient-specific root causes with the heteroscedastic noise model. J. Comput. Sci. 72: 102099 (2023) - [j5]Eric V. Strobl:
Causal discovery with a mixture of DAGs. Mach. Learn. 112(11): 4201-4225 (2023) - [c8]Eric V. Strobl:
Root Causal Inference from Single Cell RNA Sequencing with the Negative Binomial. BCB 2023: 15:1-15:10 - [c7]Eric V. Strobl, Thomas A. Lasko:
Generalizing Clinical Trials with Convex Hulls. CLeaR 2023: 197-221 - [c6]Eric V. Strobl, Thomas A. Lasko:
Sample-Specific Root Causal Inference with Latent Variables. CLeaR 2023: 895-915 - [i14]Eric V. Strobl:
Counterfactual Formulation of Patient-Specific Root Causes of Disease. CoRR abs/2305.17574 (2023) - [i13]Thomas A. Lasko, Eric V. Strobl, William W. Stead:
Why Do Clinical Probabilistic Models Fail To Transport Between Sites? CoRR abs/2311.04787 (2023) - 2022
- [c5]Eric V. Strobl, Thomas A. Lasko:
Identifying patient-specific root causes of disease. BCB 2022: 18:1-18:10 - [i12]Eric V. Strobl, Thomas A. Lasko:
Identifying Patient-Specific Root Causes of Disease. CoRR abs/2205.11627 (2022) - [i11]Eric V. Strobl, Thomas A. Lasko:
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model. CoRR abs/2205.13085 (2022) - [i10]Eric V. Strobl, Thomas A. Lasko:
Sample-Specific Root Causal Inference with Latent Variables. CoRR abs/2210.15340 (2022) - 2021
- [j4]Eric V. Strobl:
Automated hyperparameter selection for the PC algorithm. Pattern Recognit. Lett. 151: 288-293 (2021) - [c4]Eric V. Strobl, Thomas A. Lasko:
Synthesized difference in differences. BCB 2021: 45:1-45:10 - [c3]Eric V. Strobl, Shyam Visweswaran:
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials. CD@KDD 2021: 78-125 - [i9]Eric V. Strobl, Thomas A. Lasko:
Synthesized Difference in Differences. CoRR abs/2105.00455 (2021) - [i8]Eric V. Strobl, Thomas A. Lasko:
Generalizing Clinical Trials with Convex Hulls. CoRR abs/2111.13229 (2021) - 2020
- [i7]Eric V. Strobl:
Automated Hyperparameter Selection for the PC Algorithm. CoRR abs/2011.01889 (2020)
2010 – 2019
- 2019
- [j3]Eric V. Strobl:
A constraint-based algorithm for causal discovery with cycles, latent variables and selection bias. Int. J. Data Sci. Anal. 8(1): 33-56 (2019) - [j2]Eric V. Strobl, Peter L. Spirtes, Shyam Visweswaran:
Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values. ACM Trans. Intell. Syst. Technol. 10(5): 46:1-46:37 (2019) - [c2]Eric V. Strobl:
Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs. CD@KDD 2019: 100-133 - [p1]Eric V. Strobl, Shyam Visweswaran:
Markov Blanket Ranking Using Kernel-Based Conditional Dependence Measures. Cause Effect Pairs in Machine Learning 2019: 359-372 - [i6]Eric V. Strobl:
Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs. CoRR abs/1901.09475 (2019) - [i5]Eric V. Strobl, Shyam Visweswaran:
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials. CoRR abs/1905.10330 (2019) - 2018
- [j1]Eric V. Strobl, Shyam Visweswaran, Peter L. Spirtes:
Fast causal inference with non-random missingness by test-wise deletion. Int. J. Data Sci. Anal. 6(1): 47-62 (2018) - [i4]Eric V. Strobl:
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias. CoRR abs/1805.02087 (2018) - 2014
- [i3]Eric V. Strobl, Shyam Visweswaran:
Markov Blanket Ranking using Kernel-based Conditional Dependence Measures. CoRR abs/1402.0108 (2014) - [i2]Eric V. Strobl, Shyam Visweswaran:
Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data. CoRR abs/1407.7566 (2014) - 2013
- [c1]Eric V. Strobl, Shyam Visweswaran:
Deep Multiple Kernel Learning. ICMLA (1) 2013: 414-417 - [i1]Eric V. Strobl, Shyam Visweswaran:
Deep Multiple Kernel Learning. CoRR abs/1310.3101 (2013)
Coauthor Index
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