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Peter J. Bickel

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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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Sparse Canonical Correlation Analysis via Concave Minimization

Sep 17, 2019
Omid S. Solari, James B. Brown, Peter J. Bickel

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Hierarchical community detection by recursive bi-partitioning

Oct 02, 2018
Tianxi Li, Sharmodeep Bhattacharyya, Purnamrita Sarkar, Peter J. Bickel, Elizaveta Levina

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Two provably consistent divide and conquer clustering algorithms for large networks

Aug 18, 2017
Soumendu Sundar Mukherjee, Purnamrita Sarkar, Peter J. Bickel

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Spectral Clustering and Block Models: A Review And A New Algorithm

Aug 07, 2015
Sharmodeep Bhattacharyya, Peter J. Bickel

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Role of normalization in spectral clustering for stochastic blockmodels

Jun 25, 2015
Purnamrita Sarkar, Peter J. Bickel

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Community Detection in Networks using Graph Distance

Jan 24, 2014
Sharmodeep Bhattacharyya, Peter J. Bickel

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Hypothesis Testing for Automated Community Detection in Networks

Nov 20, 2013
Peter J. Bickel, Purnamrita Sarkar

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Pseudo-likelihood methods for community detection in large sparse networks

Nov 05, 2013
Arash A. Amini, Aiyou Chen, Peter J. Bickel, Elizaveta Levina

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Large Vector Auto Regressions

Jun 20, 2011
Song Song, Peter J. Bickel

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