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Proceedings of the National Academy of Sciences of the United States of America|June 20, 2023
MM optimization: Proximal distance algorithms, path following, and trust regionsAlfonso Landeros, Jason Xu, Kenneth LangeJournal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|November 20, 2023
Algorithms for Sparse Support Vector MachinesAlfonso Landeros, Kenneth LangePlos One|March 2, 2021
Stochastic simulation algorithms for Interacting Particle SystemsTimothy C Stutz, Alfonso Landeros, Jason Xu, et al.Plos Computational Biology|June 13, 2022
Differential methods for assessing sensitivity in biological modelsRachel Mester, Alfonso Landeros, Chris Rackauckas, et al.BMC Bioinformatics|May 21, 2026
mGEM: multigraph estimation models for pattern analysisAlfonso Landeros, Dhwani Krishnan, Kenneth Lange, et al.Plos One|May 20, 2021
An examination of school reopening strategies during the SARS-CoV-2 pandemicAlfonso Landeros, Xiang Ji, Kenneth Lange, et al.Medrxiv : the Preprint Server for Health Sciences|August 15, 2020
An examination of school reopening strategies during the SARS-CoV-2 pandemicAlfonso Landeros, Xiang Ji, Kenneth Lange, et al.Journal of Machine Learning Research : JMLR|May 19, 2023
Extensions to the Proximal Distance Method of Constrained OptimizationAlfonso Landeros, Oscar Hernan Madrid Padilla, Hua Zhou, et al.Plos One|September 24, 2015
Modeling of Cancer Stem Cell State Transitions Predicts Therapeutic ResponseMary E Sehl, Miki Shimada, Alfonso Landeros, et al.Biometrika|December 14, 2023
A proximal distance algorithm for likelihood-based sparse covariance estimationJason Xu, Kenneth LangePageof 19