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Compressed Predictive Information Coding


Mar 03, 2022
Rui Meng, Tianyi Luo, Kristofer Bouchard


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Learning from learning machines: a new generation of AI technology to meet the needs of science


Nov 27, 2021
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus Zwart, Neeraj Kumar, Amy Justice, Claire Tomlin, Daniel Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Ken Kreutz-Delgado, Michael W. Mahoney, James B. Brown


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Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model


Jun 25, 2021
Rui Meng, Kristofer Bouchard


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Collaborative Nonstationary Multivariate Gaussian Process Model


Jun 01, 2021
Rui Meng, Herbie Lee, Kristofer Bouchard


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Run Procrustes, Run! On the convergence of accelerated Procrustes Flow


Sep 12, 2018
Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer Bouchard

* 33 pages, footnote 7 removed from previous version, improved constants 

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Optimizing the Union of Intersections LASSO ($UoI_{LASSO}$) and Vector Autoregressive ($UoI_{VAR}$) Algorithms for Improved Statistical Estimation at Scale


Aug 21, 2018
Mahesh Balasubramanian, Trevor Ruiz, Brandon Cook, Sharmodeep Bhattacharyya, Prabhat, Aviral Shrivastava, Kristofer Bouchard

* 10 pages, 10 figures 

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