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