294 citations · 1.2k across the 73 of their papers we have counts for
8 papers · 1 filter
Comment on "Blessings of Multiple Causes"
Elizabeth L. Ogburn, Ilya Shpitser, Eric J. Tchetgen Tchetgen
(This comment has been updated to respond to Wang and Blei's rejoinder [arXiv:1910.07320].) The premise of the deconfounder method proposed in "Blessings of Multiple Causes" by Wan…
Optimal Training of Fair Predictive Models
Razieh Nabi, Daniel Malinsky, Ilya Shpitser
Recently there has been sustained interest in modifying prediction algorithms to satisfy fairness constraints. These constraints are typically complex nonlinear functionals of the…
Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model
Daniel Malinsky, Ilya Shpitser, Eric J Tchetgen Tchetgen
We study the identification and estimation of statistical functionals of multivariate data missing non-monotonically and not-at-random, taking a semiparametric approach. Specifical…
Identification In Missing Data Models Represented By Directed Acyclic Graphs
Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser +1
Missing data is a pervasive problem in data analyses, resulting in datasets that contain censored realizations of a target distribution. Many approaches to inference on the target…
Causal Inference Under Interference And Network Uncertainty
Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser
Classical causal and statistical inference methods typically assume the observed data consists of independent realizations. However, in many applications this assumption is inappro…
Conditionally-additive-noise Models for Structure Learning
Daniel Chicharro, Stefano Panzeri, Ilya Shpitser
Constraint-based structure learning algorithms infer the causal structure of multivariate systems from observational data by determining an equivalent class of causal structures co…