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ORCIDJames M. Robins
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2020 – today
- 2024
[i11]Thomas S. Richardson, James M. Robins:
Assumptions and Bounds in the Instrumental Variable Model. CoRR abs/2401.13758 (2024)- 2022
- [c10]Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew Beam:
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction. NeurIPS 2022 - [p3]James M. Robins, Thomas S. Richardson, Ilya Shpitser:
An Interventionist Approach to Mediation Analysis. Probabilistic and Causal Inference 2022: 713-764 - [p2]Ilya Shpitser, Thomas S. Richardson, James M. Robins:
Multivariate Counterfactual Systems and Causal Graphical Models. Probabilistic and Causal Inference 2022: 813-852 - [i10]Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew L. Beam:
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction. CoRR abs/2205.09824 (2022) - [i9]Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James M. Robins:
Causal and counterfactual views of missing data models. CoRR abs/2210.05558 (2022) - 2021
- [j3]Lin Liu, Rajarshi Mukherjee, James M. Robins, Eric Tchetgen Tchetgen:
Adaptive estimation of nonparametric functionals. J. Mach. Learn. Res. 22: 99:1-99:66 (2021)
2010 – 2019
- 2019
- [c9]Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins:
Identification In Missing Data Models Represented By Directed Acyclic Graphs. UAI 2019: 1149-1158 - [i8]Lin Liu, Rajarshi Mukherjee, James M. Robins:
On assumption-free tests and confidence intervals for causal effects estimated by machine learning. CoRR abs/1904.04276 (2019) - [i7]Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins:
Identification In Missing Data Models Represented By Directed Acyclic Graphs. CoRR abs/1907.00241 (2019) - 2015
- [c8]Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabás Póczos, Larry A. Wasserman, James M. Robins:
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations. NIPS 2015: 397-405 - 2014
- [i6]Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabás Póczos, Larry A. Wasserman, James M. Robins:
Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations. CoRR abs/1411.4342 (2014) - 2013
- [c7]Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins:
Sparse Nested Markov models with Log-linear Parameters. UAI 2013 - [i5]Judea Pearl, James M. Robins:
Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden Variables. CoRR abs/1302.4977 (2013) - [i4]Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins:
Sparse Nested Markov models with Log-linear Parameters. CoRR abs/1309.6863 (2013) - 2012
- [c6]Thomas S. Richardson, James M. Robins, Ilya Shpitser:
Nested Markov Properties for Acyclic Directed Mixed Graphs. UAI 2012: 13 - [i3]Ilya Shpitser, Thomas S. Richardson, James M. Robins:
An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models. CoRR abs/1202.3763 (2012) - [i2]Ilya Shpitser, Tyler J. VanderWeele, James M. Robins:
On the Validity of Covariate Adjustment for Estimating Causal Effects. CoRR abs/1203.3515 (2012) - 2011
- [c5]Ilya Shpitser, Thomas S. Richardson, James M. Robins:
An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models. UAI 2011: 661-670 - [i1]Jing Lei, James M. Robins, Larry A. Wasserman:
Efficient Nonparametric Conformal Prediction Regions. CoRR abs/1111.1418 (2011) - 2010
- [c4]Ilya Shpitser, Tyler J. VanderWeele, James M. Robins:
On the Validity of Covariate Adjustment for Estimating Causal Effects. UAI 2010: 527-536
2000 – 2009
- 2009
- [j2]Tyler J. VanderWeele, James M. Robins:
Properties of Monotonic Effects on Directed Acyclic Graphs. J. Mach. Learn. Res. 10: 699-718 (2009) - [c3]Ilya Shpitser, Thomas S. Richardson, James M. Robins:
Testing Edges by Truncations. IJCAI 2009: 1957-1963 - 2003
- [p1]Sündüz Keles, Mark J. van der Laan, James M. Robins:
Estimation of the Bivariate Survival Function with Generalized Bivariate Right Censored Data Structures. Advances in Survival Analysis 2003: 143-173
1990 – 1999
- 1999
- [j1]James M. Robins:
Association, Causation, And Marginal Structural Models. Synth. 121(1-2): 151-179 (1999) - 1997
- [c2]James M. Robins, Larry A. Wasserman:
Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs. UAI 1997: 409-420 - 1995
- [c1]Judea Pearl, James M. Robins:
Probabilistic evaluation of sequential plans from causal models with hidden variables. UAI 1995: 444-453
Coauthor Index
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