Follow
Ilya Shpitser
Ilya Shpitser
John C. Malone Associate Professor, Department of Computer Science, Johns Hopkins University
Verified email at cs.jhu.edu - Homepage
Title
Cited by
Cited by
Year
A new criterion for confounder selection
TJ Vander Weele, I Shpitser
Biometrics 67 (4), 1406-1413, 2011
4842011
Identifiability of path-specific effects
C Avin, I Shpitser, J Pearl
4462005
Fair inference on outcomes
R Nabi, I Shpitser
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
4442018
Identity uncertainty and citation matching
H Pasula, B Marthi, B Milch, SJ Russell, I Shpitser
Advances in neural information processing systems 15, 2002
4302002
Identification of joint interventional distributions in recursive semi-Markovian causal models
I Shpitser, J Pearl
AAAI, 1219-1226, 2006
3892006
On the definition of a confounder
TJ VanderWeele, I Shpitser
Annals of statistics 41 (1), 196, 2013
3862013
Semiparametric theory for causal mediation analysis: efficiency bounds, multiple robustness, and sensitivity analysis
EJT Tchetgen, I Shpitser
Annals of statistics 40 (3), 1816, 2012
3632012
Complete identification methods for the causal hierarchy
I Shpitser, J Pearl
3072008
Identification of conditional interventional distributions
I Shpitser, J Pearl
arXiv preprint arXiv:1206.6876, 2012
2702012
On the validity of covariate adjustment for estimating causal effects
I Shpitser, T VanderWeele, JM Robins
arXiv preprint arXiv:1203.3515, 2012
2492012
What counterfactuals can be tested
I Shpitser, J Pearl
arXiv preprint arXiv:1206.5294, 2012
1402012
Nested Markov properties for acyclic directed mixed graphs
TS Richardson, RJ Evans, JM Robins, I Shpitser
The Annals of Statistics 51 (1), 334-361, 2023
1382023
Counterfactual graphical models for longitudinal mediation analysis with unobserved confounding
I Shpitser
Cognitive science 37 (6), 1011-1035, 2013
1292013
Learning optimal fair policies
R Nabi, D Malinsky, I Shpitser
International conference on machine learning, 4674-4682, 2019
1212019
A systematic review of robustness in deep learning for computer vision: Mind the gap?
N Drenkow, N Sani, I Shpitser, M Unberath
arXiv preprint arXiv:2112.00639, 2021
1152021
Auto-g-computation of causal effects on a network
EJ Tchetgen Tchetgen, IR Fulcher, I Shpitser
Journal of the American Statistical Association 116 (534), 833-844, 2021
1132021
Cardiovascular risk prevention and all-cause mortality in primary care patients with an abdominal aortic aneurysm
SS Bahia, A Vidal-Diez, SRK Seshasai, I Shpitser, JR Brownrigg, ...
Journal of British Surgery 103 (12), 1626-1633, 2016
962016
Challenges of using text classifiers for causal inference
Z Wood-Doughty, I Shpitser, M Dredze
Proceedings of the Conference on Empirical Methods in Natural Language …, 2018
902018
Effects of treatment on the treated: Identification and generalization
I Shpitser, J Pearl
arXiv preprint arXiv:1205.2615, 2012
882012
Differentiable causal discovery under unmeasured confounding
R Bhattacharya, T Nagarajan, D Malinsky, I Shpitser
International Conference on Artificial Intelligence and Statistics, 2314-2322, 2021
792021
The system can't perform the operation now. Try again later.
Articles 1–20