| 2025 | ICML | Feature Importance Metrics in the Presence of Missing Data. | Henrik von Kleist, Joshua Wendland, Ilya Shpitser, Carsten Marr |
| 2024 | ICML | Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach. | Zixiao Wang, AmirEmad Ghassami, Ilya Shpitser |
| 2024 | UAI | A General Identification Algorithm For Data Fusion Problems Under Systematic Selection. | Jaron Jia Rong Lee, AmirEmad Ghassami, Ilya Shpitser |
| 2024 | UAI | Zero Inflation as a Missing Data Problem: a Proxy-based Approach. | Trung Phung, Jaron J. R. Lee, Opeyemi Oladapo-Shittu, Eili Y. Klein, Ayse Pinar Gurses, Susan M. Hannum, Kimberly Weems, Jill A. Marsteller, Sara E. Cosgrove, Sara C. Keller, Ilya Shpitser |
| 2023 | AISTATS | The Lauritzen-Chen Likelihood For Graphical Models. | Ilya Shpitser |
| 2022 | AISTATS | Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference. | AmirEmad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen |
| 2022 | UAI | Semiparametric causal sufficient dimension reduction of multidimensional treatments. | Razieh Nabi, Todd McNutt, Ilya Shpitser |
| 2021 | AISTATS | Differentiable Causal Discovery Under Unmeasured Confounding. | Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser |
| 2021 | UAI | Partial Identifiability in Discrete Data with Measurement Error. | Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser |
| 2021 | UAI | Entropic Inequality Constraints from e-separation Relations in Directed Acyclic Graphs with Hidden Variables. | Noam Finkelstein, Beata Zjawin, Elie Wolfe, Ilya Shpitser, Robert W. Spekkens |
| 2021 | UAI | Path dependent structural equation models. | Ranjani Srinivasan, Jaron J. R. Lee, Rohit Bhattacharya, Ilya Shpitser |
| 2020 | AISTATS | General Identification of Dynamic Treatment Regimes Under Interference. | Eli Sherman, David Arbour, Ilya Shpitser |
| 2020 | ICML | Full Law Identification in Graphical Models of Missing Data: Completeness Results. | Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser |
| 2020 | UAI | Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals. | Noam Finkelstein, Ilya Shpitser |
| 2020 | UAI | Identification and Estimation of Causal Effects Defined by Shift Interventions. | Numair Sani, Jaron J. R. Lee, Ilya Shpitser |
| 2019 | AISTATS | A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects. | Daniel Malinsky, Ilya Shpitser, Thomas S. Richardson |
| 2019 | ICML | Learning Optimal Fair Policies. | Razieh Nabi, Daniel Malinsky, Ilya Shpitser |
| 2019 | UAI | Causal Inference Under Interference And Network Uncertainty. | Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser |
| 2019 | UAI | Identification In Missing Data Models Represented By Directed Acyclic Graphs. | Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins |
| 2019 | UAI | Intervening on Network Ties. | Eli Sherman, Ilya Shpitser |
| 2018 | AAAI | Fair Inference on Outcomes. | Razieh Nabi, Ilya Shpitser |
| 2018 | EMNLP | Challenges of Using Text Classifiers for Causal Inference. | Zach Wood-Doughty, Ilya Shpitser, Mark Dredze |
| 2018 | UAI | Estimation of Personalized Effects Associated With Causal Pathways. | Razieh Nabi, Phyllis Kanki, Ilya Shpitser |
| 2018 | UAI | Acyclic Linear SEMs Obey the Nested Markov Property. | Ilya Shpitser, Robin J. Evans, Thomas S. Richardson |
| 2018 | UAI | Identification of Personalized Effects Associated With Causal Pathways. | Ilya Shpitser, Eli Sherman |
| 2015 | UAI | Missing Data as a Causal and Probabilistic Problem. | Ilya Shpitser, Karthika Mohan, Judea Pearl |
| 2013 | UAI | Sparse Nested Markov models with Log-linear Parameters. | Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins |
| 2012 | UAI | Nested Markov Properties for Acyclic Directed Mixed Graphs. | Thomas S. Richardson, James M. Robins, Ilya Shpitser |
| 2011 | UAI | An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models. | Ilya Shpitser, Thomas S. Richardson, James M. Robins |
| 2010 | AAAI | Respecting Markov Equivalence in Computing Posterior Probabilities of Causal Graphical Features. | Eun Yong Kang, Ilya Shpitser, Eleazar Eskin |
| 2010 | UAI | On the Validity of Covariate Adjustment for Estimating Causal Effects. | Ilya Shpitser, Tyler J. VanderWeele, James M. Robins |
| 2009 | IJCAI | Testing Edges by Truncations. | Ilya Shpitser, Thomas S. Richardson, James M. Robins |
| 2009 | RECOMB | Detecting the Presence and Absence of Causal Relationships between Expression of Yeast Genes with Very Few Samples. | Eun Yong Kang, Ilya Shpitser, Chun Ye, Eleazar Eskin |
| 2009 | UAI | Effects of Treatment on the Treated: Identification and Generalization. | Ilya Shpitser, Judea Pearl |
| 2008 | AAAI | Dormant Independence. | Ilya Shpitser, Judea Pearl |
| 2007 | UAI | What Counterfactuals Can Be Tested. | Ilya Shpitser, Judea Pearl |
| 2006 | AAAI | Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models. | Ilya Shpitser, Judea Pearl |
| 2006 | UAI | Identification of Conditional Interventional Distributions. | Ilya Shpitser, Judea Pearl |
| 2005 | IJCAI | Identifiability of Path-Specific Effects. | Chen Avin, Ilya Shpitser, Judea Pearl |