Ilya Shpitser - RankMe

101 papers A* 13A 28B 1Journal 51Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Comparing Two Proxy Methods for Causal Identification. CoRR Helen Guo, Elizabeth L. Ogburn, Ilya Shpitser
2025	J	`jnl`	Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings. J. Mach. Learn. Res. Henrik von Kleist, Alireza Zamanian, Ilya Shpitser, Narges Ahmidi
2025	J	`jnl`	Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning. Trans. Mach. Learn. Res. Numair Sani, Daniel Malinsky, Ilya Shpitser
2025	A*	`conf`	Feature Importance Metrics in the Presence of Missing Data. ICML Henrik von Kleist, Joshua Wendland, Ilya Shpitser, Carsten Marr
2025	J	`jnl`	Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support. CoRR Trung Phung, Kyle Reese, Ilya Shpitser, Rohit Bhattacharya
2025	J	`jnl`	Response to Discussions of "Causal and Counterfactual Views of Missing Data Models". CoRR Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James M. Robins
2024	A	`conf`	A General Identification Algorithm For Data Fusion Problems Under Systematic Selection. UAI Jaron Jia Rong Lee, AmirEmad Ghassami, Ilya Shpitser
2024	J	`jnl`	IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning. IEEE Trans. Neural Networks Learn. Syst. Kun Zhang, Ilya Shpitser, Sara Magliacane, Davide Bacciu, Fei Wu, Changshui Zhang, Peter Spirtes
2024	A*	`conf`	Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach. ICML Zixiao Wang, AmirEmad Ghassami, Ilya Shpitser
2024	A	`conf`	Zero Inflation as a Missing Data Problem: a Proxy-based Approach. UAI 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
2024	J	`jnl`	Zero Inflation as a Missing Data Problem: a Proxy-based Approach. CoRR 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	J	`jnl`	An Introduction to Causal Inference Methods for Observational Human-Robot Interaction Research. CoRR Jaron J. R. Lee, Gopika Ajaykumar, Ilya Shpitser, Chien-Ming Huang
2023	J	`jnl`	Ananke: A Python Package For Causal Inference Using Graphical Models. CoRR Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser
2023	J	`jnl`	Evaluation of Active Feature Acquisition Methods for Static Feature Settings. CoRR Henrik von Kleist, Alireza Zamanian, Ilya Shpitser, Narges Ahmidi
2023	J	`jnl`	Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings. CoRR Henrik von Kleist, Alireza Zamanian, Ilya Shpitser, Narges Ahmidi
2023	J	`jnl`	Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach. CoRR Zixiao Wang, AmirEmad Ghassami, Ilya Shpitser
2023	J	`jnl`	Searching for explanations: testing social scientific methods in synthetic ground-truthed worlds. Comput. Math. Organ. Theory Aurora C. Schmidt, Christopher J. Cameron, Corey Lowman, Joshua Brulé, Amruta Deshpande, Seyyed A. Fatemi, Vladimir Barash, Ariel M. Greenberg, Cash J. Costello, Eli Sherman, Rohit Bhattacharya, Liz McQuillan, Alexander Perrone, Yanni Kouskoulas, Clay Fink, June Zhang, Ilya Shpitser, Michael W. Macy
2023	A	`conf`	The Lauritzen-Chen Likelihood For Graphical Models. AISTATS Ilya Shpitser
2023	J	`jnl`	The Proximal ID Algorithm. J. Mach. Learn. Res. Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen
2023	A	`ed.`	Uncertainty in Artificial Intelligence, UAI 2023, July 31 - 4 August 2023, Pittsburgh, PA, USA. UAI Robin J. Evans, Ilya Shpitser
2023	J	`jnl`	When does the ID algorithm fail? CoRR Ilya Shpitser
2022	—	`ch.`	An Interventionist Approach to Mediation Analysis. Probabilistic and Causal Inference James M. Robins, Thomas S. Richardson, Ilya Shpitser
2022	A*	`conf`	Causal Discovery in Linear Latent Variable Models Subject to Measurement Error. NeurIPS Yuqin Yang, AmirEmad Ghassami, Mohamed S. Nafea, Negar Kiyavash, Kun Zhang, Ilya Shpitser
2022	J	`jnl`	Causal Discovery in Linear Latent Variable Models Subject to Measurement Error. CoRR Yuqin Yang, AmirEmad Ghassami, Mohamed S. Nafea, Negar Kiyavash, Kun Zhang, Ilya Shpitser
2022	J	`jnl`	Causal and counterfactual views of missing data models. CoRR Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James M. Robins
2022	A	`conf`	Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference. AISTATS AmirEmad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen
2022	—	`ch.`	Multivariate Counterfactual Systems and Causal Graphical Models. Probabilistic and Causal Inference Ilya Shpitser, Thomas S. Richardson, James M. Robins
2022	—	`conf`	Optimal Training of Fair Predictive Models. CLeaR Razieh Nabi, Daniel Malinsky, Ilya Shpitser
2022	J	`jnl`	Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. J. Mach. Learn. Res. Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser
2022	A	`conf`	Semiparametric causal sufficient dimension reduction of multidimensional treatments. UAI Razieh Nabi, Todd McNutt, Ilya Shpitser
2021	J	`jnl`	An Automated Approach to Causal Inference in Discrete Settings. CoRR Guilherme Duarte, Noam Finkelstein, Dean Knox, Jonathan Mummolo, Ilya Shpitser
2021	A	`conf`	Differentiable Causal Discovery Under Unmeasured Confounding. AISTATS Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser
2021	A	`conf`	Entropic Inequality Constraints from e-separation Relations in Directed Acyclic Graphs with Hidden Variables. UAI Noam Finkelstein, Beata Zjawin, Elie Wolfe, Ilya Shpitser, Robert W. Spekkens
2021	J	`jnl`	Entropic Inequality Constraints from e-separation Relations in Directed Acyclic Graphs with Hidden Variables. CoRR Noam Finkelstein, Beata Zjawin, Elie Wolfe, Ilya Shpitser, Robert W. Spekkens
2021	J	`jnl`	Generating Synthetic Text Data to Evaluate Causal Inference Methods. CoRR Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
2021	J	`jnl`	Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals. CoRR AmirEmad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen
2021	J	`jnl`	Multiply Robust Causal Mediation Analysis with Continuous Treatments. CoRR AmirEmad Ghassami, Numair Sani, Yizhen Xu, Ilya Shpitser
2021	A	`conf`	Partial Identifiability in Discrete Data with Measurement Error. UAI Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser
2021	A	`conf`	Path dependent structural equation models. UAI Ranjani Srinivasan, Jaron J. R. Lee, Rohit Bhattacharya, Ilya Shpitser
2021	J	`jnl`	Robustness in Deep Learning for Computer Vision: Mind the gap? CoRR Nathan Drenkow, Numair Sani, Ilya Shpitser, Mathias Unberath
2021	J	`jnl`	The Proximal ID Algorithm. CoRR Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen
2020	J	`jnl`	A Semiparametric Approach to Interpretable Machine Learning. CoRR Numair Sani, Jaron J. R. Lee, Razieh Nabi, Ilya Shpitser
2020	A	`conf`	Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals. UAI Noam Finkelstein, Ilya Shpitser
2020	J	`jnl`	Differentiable Causal Discovery Under Unmeasured Confounding. CoRR Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser
2020	J	`jnl`	Explaining The Behavior Of Black-Box Prediction Algorithms With Causal Learning. CoRR Numair Sani, Daniel Malinsky, Ilya Shpitser
2020	J	`jnl`	Full Law Identification In Graphical Models Of Missing Data: Completeness Results. CoRR Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser
2020	A*	`conf`	Full Law Identification in Graphical Models of Missing Data: Completeness Results. ICML Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser
2020	A	`conf`	General Identification of Dynamic Treatment Regimes Under Interference. AISTATS Eli Sherman, David Arbour, Ilya Shpitser
2020	J	`jnl`	General Identification of Dynamic Treatment Regimes Under Interference. CoRR Eli Sherman, David Arbour, Ilya Shpitser
2020	J	`jnl`	Identification Methods With Arbitrary Interventional Distributions as Inputs. CoRR Jaron J. R. Lee, Ilya Shpitser
2020	A	`conf`	Identification and Estimation of Causal Effects Defined by Shift Interventions. UAI Numair Sani, Jaron J. R. Lee, Ilya Shpitser
2020	J	`jnl`	Partial Identifiability in Discrete Data With Measurement Error. CoRR Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser
2020	J	`jnl`	Path Dependent Structural Equation Models. CoRR Ranjani Srinivasan, Jaron J. R. Lee, Narges Ahmidi, Ilya Shpitser
2020	J	`jnl`	Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. CoRR Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser
2019	A	`conf`	A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects. AISTATS Daniel Malinsky, Ilya Shpitser, Thomas S. Richardson
2019	A	`conf`	Causal Inference Under Interference And Network Uncertainty. UAI Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser
2019	J	`jnl`	Causal Inference Under Interference And Network Uncertainty. CoRR Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser
2019	J	`jnl`	Conditionally-additive-noise Models for Structure Learning. CoRR Daniel Chicharro, Stefano Panzeri, Ilya Shpitser
2019	A	`conf`	Identification In Missing Data Models Represented By Directed Acyclic Graphs. UAI Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins
2019	J	`jnl`	Identification In Missing Data Models Represented By Directed Acyclic Graphs. CoRR Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins
2019	A	`conf`	Intervening on Network Ties. UAI Eli Sherman, Ilya Shpitser
2019	A*	`conf`	Learning Optimal Fair Policies. ICML Razieh Nabi, Daniel Malinsky, Ilya Shpitser
2019	J	`jnl`	Optimal Training of Fair Predictive Models. CoRR Razieh Nabi, Daniel Malinsky, Ilya Shpitser
2018	A	`conf`	Acyclic Linear SEMs Obey the Nested Markov Property. UAI Ilya Shpitser, Robin J. Evans, Thomas S. Richardson
2018	A*	`conf`	Challenges of Using Text Classifiers for Causal Inference. EMNLP Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
2018	J	`jnl`	Challenges of Using Text Classifiers for Causal Inference. CoRR Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
2018	A	`conf`	Estimation of Personalized Effects Associated With Causal Pathways. UAI Razieh Nabi, Phyllis Kanki, Ilya Shpitser
2018	J	`jnl`	Estimation of Personalized Effects Associated With Causal Pathways. CoRR Razieh Nabi, Phyllis Kanki, Ilya Shpitser
2018	A*	`conf`	Fair Inference on Outcomes. AAAI Razieh Nabi, Ilya Shpitser
2018	A*	`conf`	Identification and Estimation of Causal Effects from Dependent Data. NeurIPS Eli Sherman, Ilya Shpitser
2018	A	`conf`	Identification of Personalized Effects Associated With Causal Pathways. UAI Ilya Shpitser, Eli Sherman
2018	J	`jnl`	Learning Optimal Fair Policies. CoRR Razieh Nabi, Daniel Malinsky, Ilya Shpitser
2018	—	`conf`	Structure Learning Under Missing Data. PGM Alexander Gain, Ilya Shpitser
2016	—	`conf`	Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random. NIPS Ilya Shpitser
2015	A	`conf`	Missing Data as a Causal and Probabilistic Problem. UAI Ilya Shpitser, Karthika Mohan, Judea Pearl
2015	—	`ed.`	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. ACI@UAI Ricardo Silva, Ilya Shpitser, Robin J. Evans, Jonas Peters, Tom Claassen
2015	—	`conf`	Segregated Graphs and Marginals of Chain Graph Models. NIPS Ilya Shpitser
2013	J	`jnl`	Counterfactual Graphical Models for Longitudinal Mediation Analysis With Unobserved Confounding. Cogn. Sci. Ilya Shpitser
2013	J	`jnl`	On the definition of a confounder CoRR Tyler J. VanderWeele, Ilya Shpitser
2013	A	`conf`	Sparse Nested Markov models with Log-linear Parameters. UAI Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins
2013	J	`jnl`	Sparse Nested Markov models with Log-linear Parameters. CoRR Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins
2012	J	`jnl`	An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models CoRR Ilya Shpitser, Thomas S. Richardson, James M. Robins
2012	J	`jnl`	Effects of Treatment on the Treated: Identification and Generalization CoRR Ilya Shpitser, Judea Pearl
2012	J	`jnl`	Identification of Conditional Interventional Distributions. CoRR Ilya Shpitser, Judea Pearl
2012	A	`conf`	Nested Markov Properties for Acyclic Directed Mixed Graphs. UAI Thomas S. Richardson, James M. Robins, Ilya Shpitser
2012	J	`jnl`	On the Validity of Covariate Adjustment for Estimating Causal Effects CoRR Ilya Shpitser, Tyler J. VanderWeele, James M. Robins
2012	J	`jnl`	What Counterfactuals Can Be Tested CoRR Ilya Shpitser, Judea Pearl
2011	A	`conf`	An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models. UAI Ilya Shpitser, Thomas S. Richardson, James M. Robins
2010	J	`jnl`	Detecting the Presence and Absence of Causal Relationships between Expression of Yeast Genes with Very Few Samples. J. Comput. Biol. Eun Yong Kang, Chun Ye, Ilya Shpitser, Eleazar Eskin
2010	A	`conf`	On the Validity of Covariate Adjustment for Estimating Causal Effects. UAI Ilya Shpitser, Tyler J. VanderWeele, James M. Robins
2010	A*	`conf`	Respecting Markov Equivalence in Computing Posterior Probabilities of Causal Graphical Features. AAAI Eun Yong Kang, Ilya Shpitser, Eleazar Eskin
2009	B	`conf`	Detecting the Presence and Absence of Causal Relationships between Expression of Yeast Genes with Very Few Samples. RECOMB Eun Yong Kang, Ilya Shpitser, Chun Ye, Eleazar Eskin
2009	A	`conf`	Effects of Treatment on the Treated: Identification and Generalization. UAI Ilya Shpitser, Judea Pearl
2009	A*	`conf`	Testing Edges by Truncations. IJCAI Ilya Shpitser, Thomas S. Richardson, James M. Robins
2008	J	`jnl`	Complete Identification Methods for the Causal Hierarchy. J. Mach. Learn. Res. Ilya Shpitser, Judea Pearl
2008	A*	`conf`	Dormant Independence. AAAI Ilya Shpitser, Judea Pearl
2007	A	`conf`	What Counterfactuals Can Be Tested. UAI Ilya Shpitser, Judea Pearl
2006	A	`conf`	Identification of Conditional Interventional Distributions. UAI Ilya Shpitser, Judea Pearl
2006	A*	`conf`	Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models. AAAI Ilya Shpitser, Judea Pearl
2005	A*	`conf`	Identifiability of Path-Specific Effects. IJCAI Chen Avin, Ilya Shpitser, Judea Pearl
2002	—	`conf`	Identity Uncertainty and Citation Matching. NIPS Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, Ilya Shpitser