Ilya Shpitser
33 papers · 2008–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 30% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ilya Shpitser?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Rohit Bhattacharya, Razieh Nabi, Daniel Malinsky
10 papers
· 2019–2022
· UAI, AISTATS, ICML
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Optimal Training of Fair Predictive Models
CLeaR 2022
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables
JMLR 2022
Semiparametric causal sufficient dimension reduction of multidimensional treatments
UAI 2022
Differentiable Causal Discovery Under Unmeasured Confounding
AISTATS 2021
Path dependent structural equation models
UAI 2021
Full Law Identification in Graphical Models of Missing Data: Completeness Results
ICML 2020
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects
AISTATS 2019
Causal Inference Under Interference And Network Uncertainty
UAI 2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs
UAI 2019
Learning Optimal Fair Policies
ICML 2019
7 papers whose co-authors appear nowhere else under this name
A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models
UAI 2026
Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator
UAI 2026
The Lauritzen-Chen Likelihood For Graphical Models
AISTATS 2023
Structure Learning Under Missing Data
PGM 2018
Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random
NeurIPS 2016
Segregated Graphs and Marginals of Chain Graph Models
NeurIPS 2015
Complete Identification Methods for the Causal Hierarchy
JMLR 2008