Robin J. Evans

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2024
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects.
Trans. Mach. Learn. Res., 2024

A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment.
J. Mach. Learn. Res., 2024

Marginal Causal Flows for Validation and Inference.
CoRR, 2024

2023
Results on Counterfactual Invariance.
CoRR, 2023

PWSHAP: A Path-Wise Explanation Model for Targeted Variables.
Proceedings of the International Conference on Machine Learning, 2023

2022
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Even Under One Sided Overlap.
CoRR, 2022

Selection, Ignorability and Challenges With Causal Fairness.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021
Dependency in DAG models with hidden variables.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2016
Causal Inference through a Witness Protection Program.
J. Mach. Learn. Res., 2016

2015
Recovering from Selection Bias using Marginal Structure in Discrete Models.
Proceedings of the UAI 2015 Workshop on Advances in Causal Inference co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

2000
Control of waveforms and detection thresholds for optimal target tracking in clutter.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1996
Techniques for Low Snr Target Detection and Tracking.
Proceedings of the Fourth International Symposium on Signal Processing and Its Applications, 1996


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