James M. Robins

According to our database1, James M. Robins authored at least 21 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Assumptions and Bounds in the Instrumental Variable Model.
CoRR, 2024

2022
Causal and counterfactual views of missing data models.
CoRR, 2022

Deep Learning Methods for Proximal Inference via Maximum Moment Restriction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multivariate Counterfactual Systems and Causal Graphical Models.
Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

An Interventionist Approach to Mediation Analysis.
Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2021
Adaptive estimation of nonparametric functionals.
J. Mach. Learn. Res., 2021

2019
On assumption-free tests and confidence intervals for causal effects estimated by machine learning.
CoRR, 2019

Identification In Missing Data Models Represented By Directed Acyclic Graphs.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2015
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations.
CoRR, 2014

2013
Sparse Nested Markov models with Log-linear Parameters.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012
Nested Markov Properties for Acyclic Directed Mixed Graphs.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011
Efficient Nonparametric Conformal Prediction Regions
CoRR, 2011

An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models.
Proceedings of the UAI 2011, 2011

2010
On the Validity of Covariate Adjustment for Estimating Causal Effects.
Proceedings of the UAI 2010, 2010

2009
Properties of Monotonic Effects on Directed Acyclic Graphs.
J. Mach. Learn. Res., 2009

Testing Edges by Truncations.
Proceedings of the IJCAI 2009, 2009

2003
Estimation of the Bivariate Survival Function with Generalized Bivariate Right Censored Data Structures.
Proceedings of the Advances in Survival Analysis, 2003

1999
Association, Causation, And Marginal Structural Models.
Synth., 1999

1997
Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1995
Probabilistic evaluation of sequential plans from causal models with hidden variables.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995


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