Showing 1–10 of 10 results
/ Date/ Name
Jul 15, 2020A General Family of Stochastic Proximal Gradient Methods for Deep LearningJul 2, 2020A Revision of Neural Tangent Kernel-based Approaches for Neural NetworksMay 26, 2019Stochastic Gradient Methods with Block Diagonal Matrix AdaptationOct 4, 2017Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant VarietiesMay 13, 2017Learning task structure via sparsity grouped multitask learningApr 13, 2016Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix CompletionOct 28, 2015Robust Gaussian Graphical Modeling with the Trimmed Graphical LassoFeb 19, 2014Sparse Quantile Huber Regression for Efficient and Robust EstimationJul 11, 2013Minimum Distance Estimation for Robust High-Dimensional RegressionOct 17, 2012Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality