James M. Robins

28 papers A* 2A 7Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
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 J jnl
Assumptions and Bounds in the Instrumental Variable Model.
CoRR
Thomas S. Richardson, James M. Robins
2022 — ch.
An Interventionist Approach to Mediation Analysis.
Probabilistic and Causal Inference
James M. Robins, Thomas S. Richardson, 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
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction.
NeurIPS
Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew Beam
2022 J jnl
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction.
CoRR
Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew L. Beam
2022 — ch.
Multivariate Counterfactual Systems and Causal Graphical Models.
Probabilistic and Causal Inference
Ilya Shpitser, Thomas S. Richardson, James M. Robins
2021 J jnl
Adaptive estimation of nonparametric functionals.
J. Mach. Learn. Res.
Lin Liu, Rajarshi Mukherjee, James M. Robins, Eric Tchetgen Tchetgen
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 J jnl
On assumption-free tests and confidence intervals for causal effects estimated by machine learning.
CoRR
Lin Liu, Rajarshi Mukherjee, James M. Robins
2015 — conf
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations.
NIPS
Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabás Póczos, Larry A. Wasserman, James M. Robins
2014 J jnl
Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations.
CoRR
Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabás Póczos, Larry A. Wasserman, James M. Robins
2013 J jnl
Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden Variables
CoRR
Judea Pearl, James M. Robins
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 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
2011 A conf
An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models.
UAI
Ilya Shpitser, Thomas S. Richardson, James M. Robins
2011 J jnl
Efficient Nonparametric Conformal Prediction Regions
CoRR
Jing Lei, James M. Robins, Larry A. Wasserman
2010 A conf
On the Validity of Covariate Adjustment for Estimating Causal Effects.
UAI
Ilya Shpitser, Tyler J. VanderWeele, James M. Robins
2009 J jnl
Properties of Monotonic Effects on Directed Acyclic Graphs.
J. Mach. Learn. Res.
Tyler J. VanderWeele, James M. Robins
2009 A* conf
Testing Edges by Truncations.
IJCAI
Ilya Shpitser, Thomas S. Richardson, James M. Robins
2003 — ch.
Estimation of the Bivariate Survival Function with Generalized Bivariate Right Censored Data Structures.
Advances in Survival Analysis
Sündüz Keles, Mark J. van der Laan, James M. Robins
1999 J jnl
Association, Causation, And Marginal Structural Models.
Synth.
James M. Robins
1997 A conf
Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs.
UAI
James M. Robins, Larry A. Wasserman
1995 A conf
Probabilistic evaluation of sequential plans from causal models with hidden variables.
UAI
Judea Pearl, James M. Robins