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Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation


Oct 04, 2022
Aahlad Puli, Nitish Joshi, He He, Rajesh Ranganath


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Decision making in cancer: Causal questions require causal answers


Sep 15, 2022
Wouter A. C. van Amsterdam, Pim A. de Jong, Joost J. C. Verhoeff, Tim Leiner, Rajesh Ranganath

* 7 pages, 2 figures 

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Survival Mixture Density Networks


Aug 23, 2022
Xintian Han, Mark Goldstein, Rajesh Ranganath

* Machine Learning for Healthcare 2022 

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DIET: Conditional independence testing with marginal dependence measures of residual information


Aug 18, 2022
Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath


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Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets


Jun 23, 2022
Lily H. Zhang, Veronica Tozzo, John M. Higgins, Rajesh Ranganath

* Accepted at ICML 2022 

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New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography


May 05, 2022
Neil Jethani, Aahlad Puli, Hao Zhang, Leonid Garber, Lior Jankelson, Yindalon Aphinyanaphongs, Rajesh Ranganath

* 17 pages, 6 figures 

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Quantile Filtered Imitation Learning


Dec 02, 2021
David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna

* Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2021 

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Learning Invariant Representations with Missing Data


Dec 01, 2021
Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Puli, Rajesh Ranganath, Andrew C. Miller

* NeurIPS 2021 DistShift Workshop 

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Inverse-Weighted Survival Games


Nov 16, 2021
Xintian Han, Mark Goldstein, Aahlad Puli, Thomas Wies, Adler J Perotte, Rajesh Ranganath

* Neurips 2021 

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Understanding Failures in Out-of-Distribution Detection with Deep Generative Models


Jul 16, 2021
Lily H. Zhang, Mark Goldstein, Rajesh Ranganath

* Accepted at ICML 2021 

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