Non-negative least squares for high-dimensional linear models:
consistency and sparse recovery without regularization

Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization

4 May 2012

Matthias Hein

Papers citing "Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization"

10 / 10 papers shown

Title
Holistic Generalized Linear Models Benjamin Schwendinger Florian Schwendinger Laura Vana AI4CE 17 2 0 30 May 2022
Managing Latency in Edge-Cloud Environment L. Bulej T. Bures Adam Filandr P. Hnetynka I. Hnětynková J. Pacovský Gabor Sandor I. Gerostathopoulos 11 14 0 23 Nov 2020
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification? Jun Xu Wangpeng An Lei Zhang David C. Zhang BDL 101 119 0 12 Jun 2018
Oracle inequalities for sign constrained generalized linear models Yuta Koike Y. Tanoue 26 5 0 09 Nov 2017
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems Tianxiang Liu Ting Kei Pong Akiko Takeda 21 44 0 16 Oct 2017
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii Yuting Wei Martin J. Wainwright Adityanand Guntuboyina 32 21 0 20 Mar 2017
Regularization-free estimation in trace regression with symmetric positive semidefinite matrices M. Slawski Ping Li Matthias Hein 25 15 0 23 Apr 2015
Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption Cencheng Shen Li-Wei Chen Yuexiao Dong Carey E. Priebe BDL 35 9 0 04 Feb 2015
Efficient Modeling and Forecasting of the Electricity Spot Price F. Ziel R. Steinert S. Husmann 39 116 0 27 Feb 2014
High-dimensional generalized linear models and the lasso Sara van de Geer 194 749 0 04 Apr 2008