Showing 1–20 of 59 results
/ Date/ Name
Jun 21, 2010Graph-Valued RegressionDec 9, 2015Adaptive Risk Bounds in Unimodal RegressionJun 4, 2007Compressed RegressionMay 24, 2016Local Minimax Complexity of Stochastic Convex OptimizationFeb 25, 2016Denoising Flows on TreesMar 3, 2009The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected GraphsJul 19, 2019Fair quantile regressionNov 7, 2014Faithful Variable Screening for High-Dimensional Convex RegressionMay 23, 2016Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient DescentJan 10, 2010Forest Density EstimationJan 9, 2013Nonparametric Reduced Rank RegressionJun 19, 2015A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear MeasurementsNov 28, 2007Sparse Additive ModelsSep 24, 2014Quantized Estimation of Gaussian Sequence Models in Euclidean BallsJun 17, 2005Rodeo: Sparse Nonparametric Regression in High DimensionsMay 20, 2020Model Repair: Robust Recovery of Over-Parameterized Statistical ModelsMay 26, 2022Emergent organization of receptive fields in networks of excitatory and inhibitory neuronsJul 19, 2019Surfing: Iterative optimization over incrementally trained deep networksMar 25, 2015Quantized Nonparametric Estimation over Sobolev EllipsoidsJan 4, 2012Sparse Nonparametric Graphical Models