In-network Sparsity-regularized Rank Minimization: Algorithms and
Applications

In-network Sparsity-regularized Rank Minimization: Algorithms and Applications

7 March 2012

Morteza Mardani

Gonzalo Mateos

Papers citing "In-network Sparsity-regularized Rank Minimization: Algorithms and Applications"

10 / 10 papers shown

Title
Matrix Low-Rank Trust Region Policy Optimization Sergio Rozada Antonio G. Marques 45 0 0 27 May 2024
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers Arda Sahiner Tolga Ergen Batu Mehmet Ozturkler John M. Pauly Morteza Mardani Mert Pilanci 43 33 0 17 May 2022
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning Sergio Rozada Santiago Paternain A. Marques 62 13 0 21 Jan 2022
Low-rank State-action Value-function Approximation Sergio Rozada Victor M. Tenorio A. Marques OffRL 34 9 0 18 Apr 2021
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 40 61 0 17 May 2018
Decentralized learning for wireless communications and networking G. Giannakis Qing Ling Gonzalo Mateos I. Schizas Hao Zhu 43 88 0 30 Mar 2015
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors Morteza Mardani Gonzalo Mateos G. Giannakis 41 182 0 17 Apr 2014
Nonparametric Basis Pursuit via Sparse Kernel-based Learning J. Bazerque G. Giannakis 41 51 0 21 Feb 2013
Rank regularization and Bayesian inference for tensor completion and extrapolation J. Bazerque Gonzalo Mateos G. Giannakis 41 86 0 31 Jan 2013
Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization Gonzalo Mateos G. Giannakis 47 107 0 08 Nov 2011