Structured Variable Selection with Sparsity-Inducing Norms

22 April 2009

Papers citing "Structured Variable Selection with Sparsity-Inducing Norms"

50 / 145 papers shown

Title
Correlating Time Series with Interpretable Convolutional Kernels Xinyu Chen HanQin Cai Fuqiang Liu Jinhua Zhao AI4TS 11 2 0 02 Sep 2024
Targeted Reduction of Causal Models Armin Kekić Bernhard Schölkopf M. Besserve CML 55 9 0 30 Nov 2023
Group-Feature (Sensor) Selection With Controlled Redundancy Using Neural Networks Aytijhya Saha Nikhil R. Pal 13 0 0 31 Oct 2023
Versatile Time-Frequency Representations Realized by Convex Penalty on Magnitude Spectrogram Keidai Arai Koki Yamada Kohei Yatabe 16 1 0 03 Aug 2023
Nonparametric Linear Feature Learning in Regression Through Regularisation Bertille Follain Francis R. Bach 23 3 0 24 Jul 2023
Structured Learning in Time-dependent Cox Models Guanbo Wang Yimin Lian Archer Y. Yang Robert W. Platt Rui Wang S. Perreault M. Dorais M. Schnitzer 16 2 0 21 Jun 2023
Neural incomplete factorization: learning preconditioners for the conjugate gradient method Paul Hausner Ozan Oktem Jens Sjölund 51 7 0 25 May 2023
Convex optimization over a probability simplex James Chok G. Vasil 25 2 0 15 May 2023
The non-overlapping statistical approximation to overlapping group lasso Mingyu Qi Tianxi Li 18 1 0 16 Nov 2022
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity Wei Liu Xin Liu Xiaojun Chen 12 10 0 11 May 2022
Numerical evaluation of dual norms via the MM algorithm Bernardi Mauro M. Stefanucci A. Canale 35 1 0 14 Apr 2022
Positive Feature Values Prioritized Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Hierarchical Feature Spaces Cen Wan 14 2 0 12 Apr 2022
Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces Cen Wan A. Freitas TPM 13 2 0 08 Feb 2022
Optimizing model-agnostic Random Subspace ensembles V. A. Huynh-Thu Pierre Geurts 11 2 0 07 Sep 2021
Exclusive Group Lasso for Structured Variable Selection D. Gregoratti Xavier Mestre Carlos Buelga 11 2 0 23 Aug 2021
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition Hongyuan Zhan Kamesh Madduri V. Shankar 10 0 0 22 Aug 2021
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 25 65 0 20 Aug 2021
Tail inverse regression for dimension reduction with extreme response Anass Aghbalou Franccois Portier Anne Sabourin Chen Zhou 16 7 0 30 Jul 2021
Feature Grouping and Sparse Principal Component Analysis with Truncated Regularization Haiyan Jiang Shanshan Qin Oscar Hernan Madrid Padilla 23 2 0 25 Jun 2021
A Splicing Approach to Best Subset of Groups Selection Yanhang Zhang Junxian Zhu Jin Zhu Xueqin Wang 18 18 0 23 Apr 2021
Modelling Heterogeneity Using Bayesian Structured Sparsity Max Goplerud CML 15 3 0 29 Mar 2021
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling Eugene Seo R. Hutchinson Xiao Fu Chelsea Li Tyler A. Hallman J. Kilbride W. Robinson 29 9 0 17 Feb 2021
Stochastic Hard Thresholding Algorithms for AUC Maximization Zhenhuan Yang Baojian Zhou Yunwen Lei Yiming Ying 8 3 0 04 Nov 2020
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks Tomokaze Shiratori Ken Kobayashi Yuichi Takano AI4TS 11 11 0 30 Jul 2020
Robust Grouped Variable Selection Using Distributionally Robust Optimization Ruidi Chen I. Paschalidis OOD 15 3 0 10 Jun 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
Fitting ARMA Time Series Models without Identification: A Proximal Approach Yin Liu S. Tajbakhsh 11 2 0 17 Feb 2020
A first-order optimization algorithm for statistical learning with hierarchical sparsity structure Dewei Zhang Yin Liu S. Tajbakhsh 16 2 0 10 Jan 2020
Sparse and redundant signal representations for x-ray computed tomography Davood Karimi MedIm 14 1 0 06 Dec 2019
Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration Bruno Lecouat Jean Ponce Julien Mairal 18 1 0 05 Dec 2019
Online Structured Sparsity-based Moving Object Detection from Satellite Videos Junpeng Zhang Wenxuan Wang Jiankun Hu Jocelyn Chanussot 8 28 0 29 Nov 2019
Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos Junpeng Zhang Wenxuan Wang Jiankun Hu 24 49 0 26 Aug 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 16 6 0 12 Jun 2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization Baojian Zhou F. Chen Yiming Ying 26 7 0 09 May 2019
Sparse Learning for Variable Selection with Structures and Nonlinearities Magda Gregorova 24 1 0 26 Mar 2019
Signal Classification under structure sparsity constraints T. Vu 9 0 0 28 Dec 2018
Pre-Defined Sparse Neural Networks with Hardware Acceleration Sourya Dey Kuan-Wen Huang P. Beerel K. Chugg 41 24 0 04 Dec 2018
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery Qi Zheng Shujian Yu Xinge You Qinmu Peng 13 12 0 21 May 2018
Multimodal Sparse Bayesian Dictionary Learning Igor Fedorov Bhaskar D. Rao 9 2 0 10 Apr 2018
A modeling and algorithmic framework for (non)social (co)sparse audio restoration Clément Gaultier N. Bertin Srdan Kitic Rémi Gribonval 16 6 0 30 Nov 2017
Dependent relevance determination for smooth and structured sparse regression Anqi Wu Oluwasanmi Koyejo Jonathan W. Pillow 19 8 0 28 Nov 2017
Combinatorial Penalties: Which structures are preserved by convex relaxations? Marwa El Halabi Francis R. Bach V. Cevher 21 16 0 17 Oct 2017
Two-Level Structural Sparsity Regularization for Identifying Lattices and Defects in Noisy Images Xin Li A. Belianinov Ondrej Dyck S. Jesse Chiwoo Park 26 5 0 24 Nov 2016
Image Segmentation Using Overlapping Group Sparsity Shervin Minaee Yao Wang 30 1 0 23 Nov 2016
Challenges of Feature Selection for Big Data Analytics Jundong Li Huan Liu 16 207 0 07 Nov 2016
Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations Yoann Isaac Quentin Barthélemy Cédric Gouy-Pailler Michèle Sebag Jamal Atif 28 8 0 29 Sep 2016
Adaptive matching pursuit for sparse signal recovery T. Vu Hojjat Seyed Mousavi V. Monga 6 18 0 12 Sep 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 22 462 0 02 Jul 2016
Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity Sohil Shah Tom Goldstein Christoph Studer 16 4 0 06 May 2016
Decentralized Dynamic Discriminative Dictionary Learning Alec Koppel Garrett A. Warnell Ethan Stump Alejandro Ribeiro 15 35 0 03 May 2016