Maximum likelihood fitting of acyclic directed mixed graphs to binary data. - Robin J. Evans 002; Thomas S. Richardson 001 (UAI, 2010)

Sparse Nested Markov models with Log-linear Parameters. - Ilya Shpitser; Robin J. Evans 002; Thomas S. Richardson 001; James M. Robins (UAI, 2013)

Recovering from Selection Bias using Marginal Structure in Discrete Models. - Robin J. Evans 002; Vanessa Didelez (ACI@UAI, 2015)

One-component regular variation and graphical modeling of extremes. - Adrien Hitz; Robin Evans 002 (J. Appl. Probab., 2016)

Causal Inference through a Witness Protection Program. - Ricardo Silva 001; Robin J. Evans 002 (J. Mach. Learn. Res., 2016)

Acyclic Linear SEMs Obey the Nested Markov Property. - Ilya Shpitser; Robin J. Evans 002; Thomas S. Richardson 001 (UAI, 2018)

Faster algorithms for Markov equivalence. - Zhongyi Hu; Robin Evans 002 (UAI, 2020)

Dependency in DAG models with hidden variables. - Robin J. Evans 002 (UAI, 2021)

Selection, Ignorability and Challenges With Causal Fairness. - Jake Fawkes; Robin J. Evans 002; Dino Sejdinovic (CLeaR, 2022)

Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Even Under One Sided Overlap. - Jake Fawkes; Robert Hu; Robin J. Evans 002; Dino Sejdinovic (CoRR, 2022)

PWSHAP: A Path-Wise Explanation Model for Targeted Variables. - Lucile Ter-Minassian; Oscar Clivio; Karla DiazOrdaz; Robin J. Evans 002; Christopher C. Holmes (ICML, 2023)

Results on Counterfactual Invariance. - Jake Fawkes; Robin J. Evans 002 (CoRR, 2023)

Marginal Causal Flows for Validation and Inference. - Daniel de Vassimon Manela; Laura Battaglia; Robin J. Evans 002 (NeurIPS, 2024)

A fast score-based search algorithm for maximal ancestral graphs using entropy. - Zhongyi Hu; Robin Evans 002 (CoRR, 2024)

A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment. - Robert Hu; Dino Sejdinovic; Robin J. Evans 002 (J. Mach. Learn. Res., 2024)

Toward a Complete Criterion for Value of Information in Insoluble Decision Problems. - Ryan Carey; Sanghack Lee; Robin J. Evans 002 (Trans. Mach. Learn. Res., 2024)

Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects. - Jake Fawkes; Robert Hu; Robin J. Evans 002; Dino Sejdinovic (Trans. Mach. Learn. Res., 2024)

Testing Generalizability in Causal Inference. - Daniel de Vassimon Manela; Linying Yang; Robin J. Evans 002 (UAI, 2025)