Sparse Prediction with the $k$ -Support Norm

23 April 2012

Papers citing "Sparse Prediction with the $k$-Support Norm"

11 / 11 papers shown

Title
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees A. Banerjee Qiaobo Li Yingxue Zhou 44 0 0 11 Jun 2024
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 16 18 0 02 Feb 2023
Compression-aware Training of Neural Networks using Frank-Wolfe Max Zimmer Christoph Spiegel S. Pokutta 16 9 0 24 May 2022
Heavy Ball Momentum for Conditional Gradient Bingcong Li A. Sadeghi G. Giannakis 15 5 0 08 Oct 2021
The Nonconvex Geometry of Linear Inverse Problems Armin Eftekhari Peyman Mohajerin Esfahani 13 1 0 07 Jan 2021
Efficient Symmetric Norm Regression via Linear Sketching Zhao-quan Song Ruosong Wang Lin F. Yang Hongyang R. Zhang Peilin Zhong 20 22 0 04 Oct 2019
Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition M. Shakeri Hong Zhang 11 22 0 05 Apr 2019
Low-Rank Inducing Norms with Optimality Interpretations Christian Grussler Pontus Giselsson 21 19 0 09 Dec 2016
Tight convex relaxations for sparse matrix factorization E. Richard G. Obozinski Jean-Philippe Vert 45 43 0 19 Jul 2014
New Perspectives on k-Support and Cluster Norms Andrew M. McDonald Massimiliano Pontil Dimitris Stamos 52 58 0 06 Mar 2014
Elastic-Net Regularization in Learning Theory C. D. Mol E. De Vito Lorenzo Rosasco OOD CML 110 306 0 22 Jul 2008