Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops von Lozano, Aurélie C., Ding, Hantian, Abe, Naoki, Lipka, Alexander E.

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Minimum Distance Lasso for robust high-dimensional regression von Lozano, Aurélie C., Meinshausen, Nicolai, Yang, Eunho

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Grouped graphical Granger modeling for gene expression regulatory networks discovery von Lozano, Aurélie C., Abe, Naoki, Liu, Yan, Rosset, Saharon

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Simultaneous Parameter Learning and Bi-clustering for Multi-Response Models von Yu, Ming, Natesan Ramamurthy, Karthikeyan, Thompson, Addie, Lozano, Aurélie C

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Variable-Selection Emerges on Top in Empirical Comparison of Whole-Genome Complex-Trait Prediction Methods von Haws, David C, Rish, Irina, Teyssedre, Simon, He, Dan, Lozano, Aurelie C, Kambadur, Prabhanjan, Karaman, Zivan, Parida, Laxmi

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Throughput scaling in wireless networks with restricted mobility von Lozano, A.C., Kulkarni, S.R., Viswanath, P.

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Learning Task Clusters via Sparsity Grouped Multitask Learning von Kshirsagar, Meghana, Yang, Eunho, Lozano, Aurélie C.

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A general family of trimmed estimators for robust high-dimensional data analysis von Yang, Eunho, Lozano, Aurélie C., Aravkin, Aleksandr

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Bayesian Regularization via Graph Laplacian von Liu, Fei, Chakraborty, Sounak, Li, Fan, Liu, Yan, Lozano, Aurelie C.

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Convergence and Consistency of Regularized Boosting With Weakly Dependent Observations von Lozano, Aurelie C., Kulkarni, Sanjeev R., Schapire, Robert E.

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A graph Laplacian prior for Bayesian variable selection and grouping von Chakraborty, Sounak, Lozano, Aurelie C.

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A Revision of Neural Tangent Kernel-based Approaches for Neural Networks von Kim, Kyung-Su, Lozano, Aurélie C, Yang, Eunho

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Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso von Yang, Eunho, Lozano, Aurélie C

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Learning task structure via sparsity grouped multitask learning von Kshirsagar, Meghana, Yang, Eunho, Lozano, Aurélie C

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Minimum Distance Estimation for Robust High-Dimensional Regression von Lozano, Aurélie C, Meinshausen, Nicolai

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A Revision of Neural Tangent Kernel-based Approaches for Neural Networks von Kyung-Su, Kim, Lozano, Aurélie C, Yang, Eunho

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Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties von Yu, Ming, Thompson, Addie M, Ramamurthy, Karthikeyan Natesan, Yang, Eunho, Lozano, Aurélie C

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Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso von Yang, Eunho, Lozano, Aurélie C

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Learning task structure via sparsity grouped multitask learning von Kshirsagar, Meghana, Yang, Eunho, Lozano, Aurélie C

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Variable-Selection Emerges on Top in Empirical Comparison of Whole-Genome Complex-Trait Prediction Methods: e0138903 von Haws, David C, Rish, Irina, Teyssedre, Simon, He, Dan, Lozano, Aurelie C, Kambadur, Prabhanjan, Karaman, Zivan, Parida, Laxmi

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