Robin J. Evans

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 13

Top Topics

Causal Inference

Models With Hidden Variables

Likelihood Ratio Test

Invariant Properties

Top Venues

Publications

Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects. Trans. Mach. Learn. Res. 2024 (2024)
Lucile Ter-Minassian, Oscar Clivio, Karla Diaz-Ordaz, Robin J. Evans, Chris C. Holmes
PWSHAP: A Path-Wise Explanation Model for Targeted Variables. CoRR (2023)
Lucile Ter-Minassian, Oscar Clivio, Karla DiazOrdaz, Robin J. Evans, Christopher C. Holmes
PWSHAP: A Path-Wise Explanation Model for Targeted Variables. ICML (2023)
Jake Fawkes, Robin J. Evans
Results on Counterfactual Invariance. CoRR (2023)
Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans
Adaptive Brain Activity Detection in Structured Interference and Partially Homogeneous Locally Correlated Disturbance. IEEE Trans. Biomed. Eng. 69 (10) (2022)
Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Even Under One Sided Overlap. CoRR (2022)
Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans
Robust Subspace Detectors Based on α-Divergence With Application to Detection in Imaging. IEEE Trans. Image Process. 30 (2021)
Robin J. Evans
Dependency in DAG models with hidden variables. UAI (2021)
Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans
Robust Likelihood Ratio Test Using α-Divergence. ICASSP (2020)
Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans
Adaptive Matched Filter using Non-Target Free Training Data. ICASSP (2020)
Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans
Adaptive Subspace Detector in High Dimensional Space with Insufficient Training Data. ICASSP (2019)
Ilya Shpitser, Robin J. Evans, Thomas S. Richardson
Acyclic Linear SEMs Obey the Nested Markov Property. UAI (2018)
Ricardo Silva, Robin J. Evans
Causal Inference through a Witness Protection Program. J. Mach. Learn. Res. 17 (2016)
Robin J. Evans, Vanessa Didelez
Recovering from Selection Bias using Marginal Structure in Discrete Models. ACI@UAI (2015)
Ricardo Silva, Robin J. Evans
Causal Inference through a Witness Protection Program. NIPS (2014)
Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins
Sparse Nested Markov models with Log-linear Parameters. CoRR (2013)
Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins
Sparse Nested Markov models with Log-linear Parameters. UAI (2013)
Robin J. Evans, Thomas S. Richardson
Maximum likelihood fitting of acyclic directed mixed graphs to binary data CoRR (2012)
Robin J. Evans, Thomas S. Richardson
Maximum likelihood fitting of acyclic directed mixed graphs to binary data. UAI (2010)
Sun-Mog Hong, Robin J. Evans, Han-Seop Shin
Control of waveforms and detection thresholds for optimal target tracking in clutter. CDC (2000)
Shane Michael Tonissen, Robin J. Evans
Techniques for Low Snr Target Detection and Tracking. ISSPA (1996)
Gregory J. Adams, Robin J. Evans
Neural networks for frequency line tracking. IEEE Trans. Signal Process. 42 (4) (1994)