Optimization with Sparsity-Inducing Penalties

3 August 2011

Papers citing "Optimization with Sparsity-Inducing Penalties"

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Title
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb T. Weber Bernd Bischl David Rügamer 111 0 0 04 Feb 2025
Piecewise Ruled Approximation for Freeform Mesh Surfaces Yiling Pan Zhixin Xu Bin Wang Bailin Deng AI4CE 53 0 0 25 Jan 2025
Training a neural netwok for data reduction and better generalization S. Sardy Maxime van Cutsem Xiaoyu Ma MLT 69 0 0 26 Nov 2024
Efficient Optimization Algorithms for Linear Adversarial Training Antônio H. Ribeiro Thomas B. Schon Dave Zahariah Francis Bach AAML 45 1 0 16 Oct 2024
Evaluating Model Robustness Using Adaptive Sparse L0 Regularization Weiyou Liu Zhenyang Li Weitong Chen AAML 30 1 0 28 Aug 2024
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models Jeremy E. Cohen Valentin Leplat 63 1 0 27 Mar 2024
Assigning Stationary Distributions to Sparse Stochastic Matrices Nicolas Gillis P. Dooren 8 2 0 26 Dec 2023
Nonparametric Linear Feature Learning in Regression Through Regularisation Bertille Follain Francis R. Bach 21 3 0 24 Jul 2023
Sparse Graphical Linear Dynamical Systems Émilie Chouzenoux Victor Elvira 25 7 0 06 Jul 2023
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities Aleksandr Beznosikov S. Samsonov Marina Sheshukova Alexander Gasnikov A. Naumov Eric Moulines 34 14 0 25 May 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 26 10 0 15 Feb 2023
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data Louna Alsouki L. Duval C. Marteau Rami El Haddad Franccois Wahl 14 7 0 17 Jan 2023
Regression as Classification: Influence of Task Formulation on Neural Network Features Lawrence Stewart Francis R. Bach Quentin Berthet Jean-Philippe Vert 27 24 0 10 Nov 2022
Outlier-Insensitive Kalman Filtering Using NUV Priors Shunit Truzman Guy Revach Nir Shlezinger Itzik Klein 18 3 0 12 Oct 2022
High-resolution Face Swapping via Latent Semantics Disentanglement Yangyang Xu Bailin Deng Junle Wang Yanqing Jing Jianxiong Pan Shengfeng He CVBM PICV 30 75 0 30 Mar 2022
Stability and Risk Bounds of Iterative Hard Thresholding Xiao-Tong Yuan P. Li 37 12 0 17 Mar 2022
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 42 29 0 14 Mar 2022
Alternative design of DeepPDNet in the context of image restoration Mingyuan Jiu N. Pustelnik 27 2 0 20 Feb 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities D. Kovalev Aleksandr Beznosikov Abdurakhmon Sadiev Michael Persiianov Peter Richtárik Alexander Gasnikov 35 34 0 06 Feb 2022
A Stochastic Bundle Method for Interpolating Networks Alasdair Paren Leonard Berrada Rudra P. K. Poudel M. P. Kumar 24 4 0 29 Jan 2022
Stable Conformal Prediction Sets Eugène Ndiaye 35 20 0 19 Dec 2021
Safe rules for the identification of zeros in the solutions of the SLOPE problem Clément Elvira Cédric Herzet 33 9 0 22 Oct 2021
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization Kean Ming Tan Lan Wang Wen-Xin Zhou 29 56 0 12 Sep 2021
Smooth Bilevel Programming for Sparse Regularization C. Poon Gabriel Peyré 11 18 0 02 Jun 2021
Root-finding Approaches for Computing Conformal Prediction Set Eugène Ndiaye Ichiro Takeuchi 23 10 0 14 Apr 2021
Decentralized Distributed Optimization for Saddle Point Problems Alexander Rogozin Alexander Beznosikov D. Dvinskikh D. Kovalev Pavel Dvurechensky Alexander Gasnikov 28 27 0 15 Feb 2021
The Nonconvex Geometry of Linear Inverse Problems Armin Eftekhari Peyman Mohajerin Esfahani 15 1 0 07 Jan 2021
Sequential convergence of AdaGrad algorithm for smooth convex optimization Cheik Traoré Edouard Pauwels 9 21 0 24 Nov 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
Determined BSS based on time-frequency masking and its application to harmonic vector analysis Kohei Yatabe Daichi Kitamura 16 26 0 29 Apr 2020
Deep Randomized Neural Networks Claudio Gallicchio Simone Scardapane OOD 41 61 0 27 Feb 2020
Sparse Optimization for Green Edge AI Inference Xiangyu Yang Sheng Hua Yuanming Shi Hao Wang Jun Zhang Khaled B. Letaief 19 14 0 24 Feb 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 29 105 0 20 Feb 2020
On the Effectiveness of Richardson Extrapolation in Machine Learning Francis R. Bach 11 9 0 07 Feb 2020
GraphEM: EM algorithm for blind Kalman filtering under graphical sparsity constraints Émilie Chouzenoux Victor Elvira 13 16 0 09 Jan 2020
Joint Graph-based Depth Refinement and Normal Estimation Mattia Rossi Mireille El Gheche Andreas Kuhn P. Frossard 3DV 14 21 0 03 Dec 2019
Multimodal Image Super-resolution via Deep Unfolding with Side Information Iman Marivani Evaggelia Tsiligianni Bruno Cornelis Nikos Deligiannis SupR 24 17 0 18 Oct 2019
Computing Full Conformal Prediction Set with Approximate Homotopy Eugène Ndiaye Ichiro Takeuchi 19 15 0 20 Sep 2019
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference Kai Yang Yuanming Shi Wei Yu Z. Ding 16 42 0 29 Jul 2019
Sparse Optimization on Measures with Over-parameterized Gradient Descent Lénaïc Chizat 21 92 0 24 Jul 2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization Baojian Zhou F. Chen Yiming Ying 23 7 0 09 May 2019
Ising Models with Latent Conditional Gaussian Variables Frank Nussbaum Joachim Giesen CML 14 6 0 28 Jan 2019
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization Yiyang Wang Risheng Liu Long Ma Xiaoliang Song 19 2 0 05 Nov 2018
Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods Hao Wang Fan Zhang Yuanming Shi Yaohua Hu 11 28 0 24 Oct 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 33 178 0 17 Jun 2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 33 61 0 17 May 2018
Sharp oracle inequalities for stationary points of nonconvex penalized M-estimators A. Elsener Sara van de Geer 22 10 0 27 Feb 2018
ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection Maryan Morel Emmanuel Bacry Stéphane Gaïffas Agathe Guilloux F. Leroy 19 14 0 21 Dec 2017
Stochastic Training of Neural Networks via Successive Convex Approximations Simone Scardapane P. Di Lorenzo 14 9 0 15 Jun 2017
Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences Danil Kuzin Olga Isupova Lyudmila Mihaylova 16 5 0 27 Apr 2017