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Fairness and robustness in anti-causal prediction


Sep 20, 2022
Maggie Makar, Alexander D'Amour


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Boosting the interpretability of clinical risk scores with intervention predictions


Jul 06, 2022
Eric Loreaux, Ke Yu, Jonas Kemp, Martin Seneviratne, Christina Chen, Subhrajit Roy, Ivan Protsyuk, Natalie Harris, Alexander D'Amour, Steve Yadlowsky, Ming-Jun Chen

* Accepted by DSHealth on KDD 2022 

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Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?


Feb 02, 2022
Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alex Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine Heller, Silvia Chiappa, Alexander D'Amour


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The MultiBERTs: BERT Reproductions for Robustness Analysis


Jun 30, 2021
Thibault Sellam, Steve Yadlowsky, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ian Tenney, Ellie Pavlick

* Checkpoints and example analyses: http://goo.gle/multiberts 

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Causally-motivated Shortcut Removal Using Auxiliary Labels


Jun 03, 2021
Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D'Amour


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Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests


Jun 02, 2021
Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein


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Deconfounding Scores: Feature Representations for Causal Effect Estimation with Weak Overlap


Apr 12, 2021
Alexander D'Amour, Alexander Franks

* A previous version of this paper was presented at the NeurIPS 2019 Causal ML workshop (https://tripods.cis.cornell.edu/neurips19_causalml/

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Revisiting Rashomon: A Comment on "The Two Cultures"


Apr 05, 2021
Alexander D'Amour

* Commentary to appear in a special issue of Observational Studies, discussing Leo Breiman's paper "Statistical Modeling: The Two Cultures" (https://doi.org/10.1214/ss/1009213726) and accompanying commentary 

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