Optimization with Sparsity-Inducing Penalties

3 August 2011

Papers citing "Optimization with Sparsity-Inducing Penalties"

44 / 94 papers shown

Title
Concave losses for robust dictionary learning Rafael Will M. de Araujo R. Hirata A. Rakotomamonjy 11 4 0 02 Nov 2017
Stochastic Training of Neural Networks via Successive Convex Approximations Simone Scardapane P. Di Lorenzo 19 9 0 15 Jun 2017
Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences Danil Kuzin Olga Isupova Lyudmila Mihaylova 18 5 0 27 Apr 2017
Binarsity: a penalization for one-hot encoded features in linear supervised learning Mokhtar Z. Alaya Simon Bussy Stéphane Gaïffas Agathe Guilloux 34 30 0 24 Mar 2017
Subspace Learning in The Presence of Sparse Structured Outliers and Noise Shervin Minaee Yao Wang 18 6 0 14 Mar 2017
Low-Rank Inducing Norms with Optimality Interpretations Christian Grussler Pontus Giselsson 23 19 0 09 Dec 2016
Frank-Wolfe Algorithms for Saddle Point Problems Gauthier Gidel Tony Jebara Simon Lacoste-Julien 42 70 0 25 Oct 2016
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression Mahsa Taheri Néhémy Lim Johannes Lederer 23 3 0 23 Sep 2016
Robust Discriminative Clustering with Sparse Regularizers Nicolas Flammarion B. Palaniappan Francis R. Bach 15 18 0 29 Aug 2016
Fast and Simple Optimization for Poisson Likelihood Models Niao He Zaïd Harchaoui Yichen Wang Le Song 20 14 0 03 Aug 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 22 462 0 02 Jul 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 17 3,172 0 15 Jun 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 21 1,991 0 14 Jun 2016
Stochastic Variance Reduction Methods for Saddle-Point Problems B. Palaniappan Francis R. Bach 18 210 0 20 May 2016
Classical Statistics and Statistical Learning in Imaging Neuroscience D. Bzdok 13 142 0 06 Mar 2016
Auxiliary Image Regularization for Deep CNNs with Noisy Labels S. Azadi Jiashi Feng Stefanie Jegelka Trevor Darrell NoLa 11 89 0 22 Nov 2015
Decentralized Joint-Sparse Signal Recovery: A Sparse Bayesian Learning Approach Saurabh Khanna C. Murthy 28 32 0 09 Jul 2015
Randomized Structural Sparsity based Support Identification with Applications to Locating Activated or Discriminative Brain Areas: A Multi-center Reproducibility Study Yilun Wang Sheng Zhang Junjie Zheng Heng Chen Huafu Chen OOD 31 3 0 07 Jun 2015
On-the-fly Approximation of Multivariate Total Variation Minimization Jordan Frécon N. Pustelnik P. Abry Laurent Condat 30 9 0 22 Apr 2015
Unsupervised Feature Selection with Adaptive Structure Learning Liang Du Yi-Dong Shen 16 217 0 03 Apr 2015
High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression G. Durif Laurent Modolo J. Michaelsson Jeff E. Mold S. Lambert-Lacroix F. Picard 19 25 0 20 Feb 2015
Sparse Modeling for Image and Vision Processing Julien Mairal Francis R. Bach Jean Ponce VLM 37 488 0 12 Nov 2014
Screening Rules for Overlapping Group Lasso Seunghak Lee Eric P. Xing 29 16 0 25 Oct 2014
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality Vikas Sindhwani H. Q. Minh A. Lozano 51 59 0 09 Aug 2014
Tight convex relaxations for sparse matrix factorization E. Richard G. Obozinski Jean-Philippe Vert 56 43 0 19 Jul 2014
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation Aaron Defazio T. Caetano 44 40 0 10 Jul 2014
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization Pascal Bianchi W. Hachem F. Iutzeler 54 57 0 03 Jul 2014
Fast and Robust Archetypal Analysis for Representation Learning Yuansi Chen Julien Mairal Zaïd Harchaoui 26 98 0 26 May 2014
New Perspectives on k-Support and Cluster Norms Andrew M. McDonald Massimiliano Pontil Dimitris Stamos 61 58 0 06 Mar 2014
$A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem$ A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem Yuling Jiao Bangti Jin Xiliang Lu 34 77 0 03 Mar 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 79 317 0 18 Feb 2014
Flexible Parallel Algorithms for Big Data Optimization F. Facchinei Simone Sagratella G. Scutari 38 30 0 11 Nov 2013
An Efficient Approach to Sparse Linear Discriminant Analysis L. F. Merchante Yves Grandvalet Gérard Govaert 24 30 0 27 Jun 2012
Efficient Euclidean Projections onto the Intersection of Norm Balls Adams Wei Yu Hao Su Li Fei-Fei 30 24 0 18 Jun 2012
Automated Word Puzzle Generation via Topic Dictionaries Balázs Pintér Gyula Vörös Z. Szabó András Lőrincz 34 6 0 02 Jun 2012
Convex Relaxation for Combinatorial Penalties G. Obozinski Francis R. Bach 59 62 0 06 May 2012
Weakly decomposable regularization penalties and structured sparsity Sara van de Geer 80 63 0 21 Apr 2012
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows Julien Mairal Bin Yu 53 44 0 20 Apr 2012
Structured sparsity through convex optimization Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 74 323 0 12 Sep 2011
A Feature Selection Method for Multivariate Performance Measures Qi Mao Ivor W. Tsang 45 67 0 05 Mar 2011
Shaping Level Sets with Submodular Functions Francis R. Bach 72 25 0 07 Dec 2010
Structured sparsity-inducing norms through submodular functions Francis R. Bach 61 194 0 25 Aug 2010
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 181 292 0 09 Mar 2009
Convex Sparse Matrix Factorizations Francis R. Bach Julien Mairal Jean Ponce 139 143 0 10 Dec 2008