Nonparametric sparsity and regularization

Nonparametric sparsity and regularization

13 August 2012

Lorenzo Rosasco

Papers citing "Nonparametric sparsity and regularization"

12 / 12 papers shown

Title
Nonparametric Linear Feature Learning in Regression Through Regularisation Bertille Follain Francis R. Bach 19 3 0 24 Jul 2023
Nonparametric augmented probability weighting with sparsity Xin He Xiaojun Mao Zhonglei Wang 23 0 0 28 Sep 2022
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs Jeff Calder Nicolas García Trillos 15 40 0 29 Oct 2019
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization Jung-Kyun Cho Junseok Kwon Byung-Woo Hong 21 1 0 23 Jul 2019
On Kernel Derivative Approximation with Random Fourier Features Z. Szabó Bharath K. Sriperumbudur 11 12 0 11 Oct 2018
Structured nonlinear variable selection Magda Gregorova Alexandros Kalousis Stéphane Marchand-Maillet CML 9 9 0 16 May 2018
Large-scale Nonlinear Variable Selection via Kernel Random Features Magda Gregorova Jason Ramapuram Alexandros Kalousis Stéphane Marchand-Maillet 18 5 0 19 Apr 2018
Efficient kernel-based variable selection with sparsistency Xin He Junhui Wang Shaogao Lv 27 7 0 26 Feb 2018
Gradient Regularization Improves Accuracy of Discriminative Models D. Varga Adrián Csiszárik Zsolt Zombori 16 53 0 28 Dec 2017
Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur Z. Szabó 21 128 0 06 Jun 2015
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning Francis R. Bach BDL 124 74 0 04 Sep 2009