Ilya Shpitser

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Papers (27)

1. Exploiting independence constraints for efficient estimation of bounds on causal effects in the presence of unmeasured confounding stat.ME · 2026 · author #3
2. Proximal Causal Inference for Hidden Outcomes stat.ME · 2026 · author #2
3. Comparing Two Proxy Methods for Causal Identification stat.ME · 2025 · author #3
4. Identification In Missing Data Models Represented By Directed Acyclic Graphs stat.ML · 2019 · author #3
5. Causal Inference Under Interference And Network Uncertainty cs.LG · 2019 · author #3
6. Conditionally-additive-noise Models for Structure Learning stat.ML · 2019 · author #3
7. A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects stat.ME · 2019 · author #2
8. Identification and Estimation of Causal Effects from Dependent Data stat.ME · 2019 · author #2
9. Challenges of Using Text Classifiers for Causal Inference cs.CL · 2018 · author #2
10. Estimation of Personalized Effects Associated With Causal Pathways cs.LG · 2018 · author #3
11. Learning Optimal Fair Policies cs.LG · 2018 · author #3
12. On semiparametric estimation of a path-specific effect in the presence of mediator-outcome confounding stat.ME · 2017 · author #2
13. Personalizing Path-Specific Effects stat.ME · 2017 · author #1
14. Fair Inference On Outcomes stat.ML · 2017 · author #2
15. Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program stat.AP · 2014 · author #2
16. Causal Inference with a Graphical Hierarchy of Interventions stat.ME · 2014 · author #1
17. Causal Graphs: Addressing the Confounding Problem Without Instruments or Ignorability stat.ME · 2014 · author #1
18. Sparse Nested Markov models with Log-linear Parameters cs.LG · 2013 · author #1
19. On the definition of a confounder stat.ME · 2013 · author #2
20. Semiparametric theory for causal mediation analysis: Efficiency bounds, multiple robustness and sensitivity analysis math.ST · 2012 · author #2
21. Parameter and Structure Learning in Nested Markov Models stat.ML · 2012 · author #1
22. Identification of Conditional Interventional Distributions cs.AI · 2012 · author #1
23. What Counterfactuals Can Be Tested cs.AI · 2012 · author #1
24. Effects of Treatment on the Treated: Identification and Generalization stat.ME · 2012 · author #1
25. Counterfactual Graphical Models for Longitudinal Mediation Analysis with Unobserved Confounding math.ST · 2012 · author #1
26. On the Validity of Covariate Adjustment for Estimating Causal Effects stat.ME · 2012 · author #1
27. An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models cs.LG · 2012 · author #1

Mentions

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Frequent Coauthors

• James M. Robins 5 shared papers
• Daniel Malinsky 4 shared papers
• Razieh Nabi 4 shared papers
• Eric J. Tchetgen Tchetgen 3 shared papers
• Judea Pearl 3 shared papers
• Phyllis Kanki 3 shared papers
• Thomas S. Richardson 3 shared papers
• Caleb H. Miles 2 shared papers
• Elizabeth L. Ogburn 2 shared papers
• Eric Tchetgen Tchetgen 2 shared papers
• Helen Guo 2 shared papers
• Rohit Bhattacharya 2 shared papers
• Seema Meloni 2 shared papers
• Caleb Miles 1 shared papers
• Daniel Chicharro 1 shared papers
• Eli Sherman 1 shared papers
• Mark Dredze 1 shared papers
• Robin Evans 1 shared papers
• Robin J. Evans 1 shared papers
• Sourjya Sarkar 1 shared papers