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

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

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

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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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A graph Laplacian prior for Bayesian variable selection and grouping von Chakraborty, Sounak, 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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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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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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A General Family of Stochastic Proximal Gradient Methods for Deep Learning von Yun, Jihun, Lozano, Aurelie C, Yang, Eunho

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Stochastic Gradient Methods with Block Diagonal Matrix Adaptation von Yun, Jihun, Lozano, Aurelie C, Yang, Eunho

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A General Family of Stochastic Proximal Gradient Methods for Deep Learning von Yun, Jihun, Lozano, Aurelie C, Yang, Eunho

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Stochastic Gradient Methods with Block Diagonal Matrix Adaptation von Yun, Jihun, Lozano, Aurelie C, Yang, Eunho

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Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion von Wang, Jialei, Olsen, Peder A, Conn, Andrew R, Lozano, Aurelie C

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Sparse Quantile Huber Regression for Efficient and Robust Estimation von Aravkin, Aleksandr Y, Kambadur, Anju, Lozano, Aurelie C, Luss, Ronny

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Group variable selection in spatiotemporal modeling von LOZANO AURELIE C, SINDHWANI VIKAS

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Inferring influence and authority von LOZANO AURELIE C, SINDHWANI VIKAS

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