Robins, James M.

12 publications

NeurIPS 2022 Deep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa, David Bellamy, Tom Kolokotrones, James M Robins, Andrew Beam

JMLR 2021 Adaptive Estimation of Nonparametric Functionals Lin Liu, Rajarshi Mukherjee, James M. Robins, Eric Tchetgen Tchetgen

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

NeurIPS 2015 Nonparametric Von Mises Estimators for Entropies, Divergences and Mutual Informations Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabas Poczos, Larry Wasserman, James M Robins

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

JMLR 2009 Properties of Monotonic Effects on Directed Acyclic Graphs Tyler J. VanderWeele, James M. Robins

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

UAI 1997 Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs James M. Robins, Larry A. Wasserman

UAI 1995 Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden Variables Judea Pearl, James M. Robins