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Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems

20 June 2014

Papers citing "Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems"

50 / 62 papers shown

Title
Scalable Hypergraph Structure Learning with Diverse Smoothness Priors Benjamin T. Brown Haoxiang Zhang Daniel L. Lau Gonzalo R. Arce 121 0 0 04 Apr 2025
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms M. Kowalski Benoit Malézieux Thomas Moreau Audrey Repetti 99 0 0 20 Nov 2024
Efficient algorithms for regularized Poisson Non-negative Matrix Factorization Nathanael Perraudin Adrien Teutrie Cécile Hébert G. Obozinski 52 1 0 25 Apr 2024
Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions Nora Ouzir Frédéric Pascal J. Pesquet 22 1 0 12 Dec 2023
$Sparse Index Tracking: Simultaneous Asset Selection and Capital Allocation via $\ell_0$-Constrained Portfolio$ Sparse Index Tracking: Simultaneous Asset Selection and Capital Allocation via $\ell_0$ -Constrained Portfolio Eisuke Yamagata Shunsuke Ono 19 1 0 22 Jul 2023
Sparse Graphical Linear Dynamical Systems Émilie Chouzenoux Victor Elvira 73 8 0 06 Jul 2023
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient P. Latafat Andreas Themelis L. Stella Panagiotis Patrinos 97 27 0 11 Jan 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks Yandong Shi Lixiang Lian Yuanming Shi Zixin Wang Yong Zhou Liqun Fu Lin Bai Jun Zhang Wei Zhang AI4CE 125 81 0 03 Jan 2023
Methods for Recovering Conditional Independence Graphs: A Survey H. Shrivastava Urszula Chajewska CML 58 11 0 13 Nov 2022
Federated Learning Using Three-Operator ADMM Shashi Kant J. M. B. D. Silva Gábor Fodor B. Goransson M. Bengtsson Carlo Fischione FedML 41 5 0 08 Nov 2022
Graph Filter Transfer via Probability Density Ratio Weighting Koki Yamada 48 2 0 26 Oct 2022
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems Pierre-Antoine Thouvenin A. Repetti P. Chainais 21 0 0 05 Oct 2022
Graphical Inference in Linear-Gaussian State-Space Models Victor Elvira Émilie Chouzenoux 22 16 0 20 Sep 2022
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially-Varying Generalised Gaussian Models Émilie Chouzenoux M. Corbineau J. Pesquet G. Scrivanti 53 1 0 03 Sep 2022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks Thomas Moreau Mathurin Massias Alexandre Gramfort Pierre Ablin Pierre-Antoine Bannier Benjamin Charlier ... Binh Duc Nguyen A. Rakotomamonjy Zaccharie Ramzi Joseph Salmon Samuel Vaiter 124 36 0 27 Jun 2022
APPLADE: Adjustable Plug-and-play Audio Declipper Combining DNN with Sparse Optimization Tomoro Tanaka Kohei Yatabe Masahiro Yasuda Yasuhiro Oikawa 57 8 0 16 Feb 2022
A Stochastic Bregman Primal-Dual Splitting Algorithm for Composite Optimization Antonio Silveti-Falls C. Molinari Jalal Fadili 69 8 0 22 Dec 2021
A first-order primal-dual method with adaptivity to local smoothness Maria-Luiza Vladarean Yura Malitsky Volkan Cevher 62 15 0 28 Oct 2021
Learning to Learn Graph Topologies Xingyue Pu Tianyue Cao Xiaoyun Zhang Xiaowen Dong Siheng Chen 78 41 0 19 Oct 2021
Time-varying Graph Learning Under Structured Temporal Priors Xiang Zhang Qiao Wang CML 63 5 0 11 Oct 2021
Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling An Liu Rui Yang Tony Q.S. Quek Min-Jian Zhao 68 12 0 05 May 2021
Deep Transform and Metric Learning Networks Wen Tang Émilie Chouzenoux J. Pesquet Hamid Krim 47 4 0 21 Apr 2021
Metalearning: Sparse Variable-Structure Automata Pedram Fekri A. Safavi M. Zadeh P. Setoodeh 18 0 0 30 Jan 2021
Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications Xiang Li Zhihua Zhang 53 4 0 05 Jan 2021
Algorithms for Learning Graphs in Financial Markets José Vinícius de Miranda Cardoso Jiaxi Ying Daniel P. Palomar CML AIFin 117 17 0 31 Dec 2020
Distributed Proximal Splitting Algorithms with Rates and Acceleration Laurent Condat Grigory Malinovsky Peter Richtárik 56 21 0 02 Oct 2020
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19 Aanchal Mongia Stuti Jain Émilie Chouzenoux A. Majumdar 38 0 0 22 Sep 2020
Learning an Interpretable Graph Structure in Multi-Task Learning Shujian Yu Francesco Alesiani Ammar Shaker Wenzhe Yin 19 2 0 11 Sep 2020
Determined BSS based on time-frequency masking and its application to harmonic vector analysis Kohei Yatabe Daichi Kitamura 104 26 0 29 Apr 2020
Dualize, Split, Randomize: Toward Fast Nonsmooth Optimization Algorithms Adil Salim Laurent Condat Konstantin Mishchenko Peter Richtárik 49 23 0 03 Apr 2020
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks Wen Tang Émilie Chouzenoux J. Pesquet Hamid Krim 40 14 0 18 Feb 2020
Time-Varying Graph Learning with Constraints on Graph Temporal Variation Koki Yamada Yuichi Tanaka Antonio Ortega AI4TS 96 43 0 10 Jan 2020
Audio Inpainting: Revisited and Reweighted Ondřej Mokrý P. Rajmic 73 21 0 08 Jan 2020
Phase-aware Harmonic/Percussive Source Separation via Convex Optimization Yoshiki Masuyama Kohei Yatabe Yasuhiro Oikawa 47 23 0 13 Mar 2019
Deep Unfolding of a Proximal Interior Point Method for Image Restoration Carla Bertocchi Émilie Chouzenoux M. Corbineau J. Pesquet M. Prato 85 108 0 11 Dec 2018
Projective Splitting with Forward Steps: Asynchronous and Block-Iterative Operator Splitting Patrick R. Johnstone Jonathan Eckstein 72 40 0 19 Mar 2018
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN Xu Chen Jiang Wang Hao Ge GAN 72 14 0 06 Feb 2018
The Application of Preconditioned Alternating Direction Method of Multipliers in Depth from Focal Stack Hossein Javidnia Peter Corcoran 115 9 0 21 Nov 2017
Total Variation-Based Dense Depth from Multi-Camera Array Hossein Javidnia Peter Corcoran MDE 23 2 0 21 Nov 2017
Large Scale Graph Learning from Smooth Signals Vassilis Kalofolias Nathanael Perraudin 96 82 0 16 Oct 2017
A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior Qi Wei Émilie Chouzenoux J. Tourneret J. Pesquet 46 0 0 18 Sep 2017
Block-Simultaneous Direction Method of Multipliers: A proximal primal-dual splitting algorithm for nonconvex problems with multiple constraints Fred Moolekamp Peter Melchior 23 7 0 30 Aug 2017
Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow Estimation Ningning Zhao D. O’Connor Adrian Basarab Dan Ruan P. Hu K. Sheng 24 0 0 22 Jul 2017
Spatially variant PSF modeling in confocal macroscopy Anna Jezierska Hugues Talbot J. Pesquet Gilbert Engler 18 3 0 14 Jul 2017
Sparse hierarchical interaction learning with epigraphical projection Mingyuan Jiu N. Pustelnik Stefan Janaqi M. Chèbre Lin Qi P. Ricoux 53 1 0 22 May 2017
A new primal-dual algorithm for minimizing the sum of three functions with a linear operator Ming Yan 18 3 0 29 Nov 2016
Stationary time-vertex signal processing Andreas Loukas Nathanael Perraudin 93 48 0 01 Nov 2016
Adaptive Graph-based Total Variation for Tomographic Reconstructions Faisal Mahmood N. Shahid U. Skoglund P. Vandergheynst 86 37 0 04 Oct 2016
Low-Rank Matrices on Graphs: Generalized Recovery & Applications N. Shahid Nathanael Perraudin P. Vandergheynst 73 1 0 18 May 2016
Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition Aleksandr Aravkin Stephen Becker 32 1 0 01 Mar 2016