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Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression


Jul 19, 2021
William T. Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick

* 20 pages, 6 figures 

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Measuring the sensitivity of Gaussian processes to kernel choice


Jun 11, 2021
William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick


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Approximate Cross-Validation with Low-Rank Data in High Dimensions


Aug 24, 2020
William T. Stephenson, Madeleine Udell, Tamara Broderick

* 19 pages, 6 figures 

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Approximate Cross-Validation for Structured Models


Jun 23, 2020
Soumya Ghosh, William T. Stephenson, Tin D. Nguyen, Sameer K. Deshpande, Tamara Broderick

* 22 pages, 7 figures 

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Reconstructing probabilistic trees of cellular differentiation from single-cell RNA-seq data


Nov 28, 2018
Miriam Shiffman, William T. Stephenson, Geoffrey Schiebinger, Jonathan Huggins, Trevor Campbell, Aviv Regev, Tamara Broderick

* 18 pages, 6 figures. Preliminary work appeared in the 2017 NeurIPS workshops in Advances in Approximate Bayesian Inference (http://approximateinference.org/2017) and Machine Learning for Computational Biology (https://mlcb.github.io

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