Shpitser, Ilya

50 publications

JMLR 2025 Evaluation of Active Feature Acquisition Methods for Time-Varying Feature Settings Henrik von Kleist, Alireza Zamanian, Ilya Shpitser, Narges Ahmidi

TMLR 2025 Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani, Daniel Malinsky, Ilya Shpitser

ICML 2025 Feature Importance Metrics in the Presence of Missing Data Henrik Von Kleist, Joshua Wendland, Ilya Shpitser, Carsten Marr

UAI 2024 A General Identification Algorithm for Data Fusion Problems Under Systematic Selection Jaron Jia Rong Lee, AmirEmad Ghassami, Ilya Shpitser

ICML 2024 Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach Zixiao Wang, Amiremad Ghassami, Ilya Shpitser

UAI 2024 Zero Inflation as a Missing Data Problem: A Proxy-Based Approach Trung Phung, Jaron Lee, Opeyemi Oladapo-Shittu, Eili Klein, Ayse Gurses, Susan Hannum, Kimberly Weems, Jill Marsteller, Sara Cosgrove, Sara Keller, Ilya Shpitser

AISTATS 2023 The Lauritzen-Chen Likelihood for Graphical Models Ilya Shpitser

JMLR 2023 The Proximal ID Algorithm Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen

AISTATS 2022 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

NeurIPS 2022 Causal Discovery in Linear Latent Variable Models Subject to Measurement Error Yuqin Yang, AmirEmad Ghassami, Mohamed Nafea, Negar Kiyavash, Kun Zhang, Ilya Shpitser

CLeaR 2022 Optimal Training of Fair Predictive Models Razieh Nabi, Daniel Malinsky, Ilya Shpitser

UAI 2022 Semiparametric Causal Sufficient Dimension Reduction of Multidimensional Treatments Razieh Nabi, Todd McNutt, Ilya Shpitser

JMLR 2022 Semiparametric Inference for Causal Effects in Graphical Models with Hidden Variables Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser

AISTATS 2021 Differentiable Causal Discovery Under Unmeasured Confounding Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser

UAI 2021 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

UAI 2021 Partial Identifiability in Discrete Data with Measurement Error Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser

UAI 2021 Path Dependent Structural Equation Models Ranjani Srinivasan, Jaron J. R. Lee, Rohit Bhattacharya, Ilya Shpitser

UAI 2020 Deriving Bounds and Inequality Constraints Using Logical Relations Among Counterfactuals Noam Finkelstein, Ilya Shpitser

ICML 2020 Full Law Identification in Graphical Models of Missing Data: Completeness Results Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser

AISTATS 2020 General Identification of Dynamic Treatment Regimes Under Interference Eli Sherman, David Arbour, Ilya Shpitser

UAI 2020 Identification and Estimation of Causal Effects Defined by Shift Interventions Numair Sani, Jaron Lee, Ilya Shpitser

AISTATS 2019 A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects Daniel Malinsky, Ilya Shpitser, Thomas Richardson

UAI 2019 Causal Inference Under Interference and Network Uncertainty Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser

UAI 2019 Identification in Missing Data Models Represented by Directed Acyclic Graphs Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins

UAI 2019 Intervening on Network Ties Eli Sherman, Ilya Shpitser

ICML 2019 Learning Optimal Fair Policies Razieh Nabi, Daniel Malinsky, Ilya Shpitser

UAI 2018 Acyclic Linear SEMs Obey the Nested Markov Property Ilya Shpitser, Robin J. Evans, Thomas S. Richardson

UAI 2018 Estimation of Personalized Effects Associated with Causal Pathways Razieh Nabi, Phyllis Kanki, Ilya Shpitser

AAAI 2018 Fair Inference on Outcomes Razieh Nabi, Ilya Shpitser

NeurIPS 2018 Identification and Estimation of Causal Effects from Dependent Data Eli Sherman, Ilya Shpitser

UAI 2018 Identification of Personalized Effects Associated with Causal Pathways Ilya Shpitser, Eli Sherman

PGM 2018 Structure Learning Under Missing Data Alexander Gain, Ilya Shpitser

NeurIPS 2016 Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random Ilya Shpitser

UAI 2015 Missing Data as a Causal and Probabilistic Problem Ilya Shpitser, Karthika Mohan, Judea Pearl

UAI 2015 Proceedings of the UAI 2015 Workshop on Advances in Causal Inference Co-Located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), Amsterdam, the Netherlands, July 16, 2015 Ricardo Silva, Ilya Shpitser, Robin J. Evans, Jonas Peters, Tom Claassen

NeurIPS 2015 Segregated Graphs and Marginals of Chain Graph Models Ilya Shpitser

UAI 2013 Sparse Nested Markov Models with Log-Linear Parameters Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins

UAI 2012 Nested Markov Properties for Acyclic Directed Mixed Graphs Thomas S. Richardson, James M. Robins, Ilya Shpitser

UAI 2011 An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models Ilya Shpitser, Thomas S. Richardson, James M. Robins

UAI 2010 On the Validity of Covariate Adjustment for Estimating Causal Effects Ilya Shpitser, Tyler J. VanderWeele, James M. Robins

AAAI 2010 Respecting Markov Equivalence in Computing Posterior Probabilities of Causal Graphical Features Eun Yong Kang, Ilya Shpitser, Eleazar Eskin

UAI 2009 Effects of Treatment on the Treated: Identification and Generalization Ilya Shpitser, Judea Pearl

IJCAI 2009 Testing Edges by Truncations Ilya Shpitser, Thomas S. Richardson, James M. Robins

JMLR 2008 Complete Identification Methods for the Causal Hierarchy Ilya Shpitser, Judea Pearl

AAAI 2008 Dormant Independence Ilya Shpitser, Judea Pearl

UAI 2007 What Counterfactuals Can Be Tested Ilya Shpitser, Judea Pearl

UAI 2006 Identification of Conditional Interventional Distributions Ilya Shpitser, Judea Pearl

AAAI 2006 Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models Ilya Shpitser, Judea Pearl

IJCAI 2005 Identifiability of Path-Specific Effects Chen Avin, Ilya Shpitser, Judea Pearl

NeurIPS 2002 Identity Uncertainty and Citation Matching Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, Ilya Shpitser