Statistics – Machine Learning
Scientist
Statistics
Machine Learning
Scientist
Climate Data and Analysis Section, Climate Research Division, Environment Canada, Toronto, Ontario, Canada
Rice University, Houston, Texas, USA
Rice University, Physics and Astronomy MS-108 Rice University PO Box 1892, Houston, TX 77030, USA of Science & Technology, Daejeon, Republic of Korea and Astronomy, Rice University, Houston, TX, USA
A Hierarchical Bayesian Approach for Aerosol Retrieval Using MISR Data
A path following algorithm for Sparse Pseudo-Likelihood Inverse Covariance Estimation (SPLICE)
A Simple and Scalable Graphene Patterning Method and Its Application in CdSe Nanobelt/Graphene Schottky Junction Solar Cells
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
Asymptotic distribution and sparsistency for l1-penalized parametric M-estimators with applications to linear SVM and logistic regression
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