Evans, Robin J.

12 publications

UAI 2025 Testing Generalizability in Causal Inference Daniel Vassimon Manela, Linying Yang, Robin J. Evans

JMLR 2024 A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment Robert Hu, Dino Sejdinovic, Robin J. Evans

TMLR 2024 Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic

NeurIPS 2024 Marginal Causal Flows for Validation and Inference Daniel de Vassimon Manela, Laura Battaglia, Robin J. Evans

TMLR 2024 Toward a Complete Criterion for Value of Information in Insoluble Decision Problems Ryan Carey, Sanghack Lee, Robin J. Evans

ICML 2023 PWSHAP: A Path-Wise Explanation Model for Targeted Variables Lucile Ter-Minassian, Oscar Clivio, Karla Diazordaz, Robin J. Evans, Christopher C. Holmes

UAI 2021 Dependency in DAG Models with Hidden Variables Robin J. Evans

UAI 2018 Acyclic Linear SEMs Obey the Nested Markov Property Ilya Shpitser, Robin J. Evans, Thomas S. Richardson

UAI 2015 Proceedings of the UAI 2015 Workshop on Advances in Causal Inference Co-Located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), Amsterdam, the Netherlands, July 16, 2015 Ricardo Silva, Ilya Shpitser, Robin J. Evans, Jonas Peters, Tom Claassen

UAI 2015 Recovering from Selection Bias Using Marginal Structure in Discrete Models Robin J. Evans, Vanessa Didelez

UAI 2013 Sparse Nested Markov Models with Log-Linear Parameters Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins

UAI 2010 Maximum Likelihood Fitting of Acyclic Directed Mixed Graphs to Binary Data Robin J. Evans, Thomas S. Richardson