Structured sparsity-inducing norms through submodular functions

25 August 2010

Papers citing "Structured sparsity-inducing norms through submodular functions"

29 / 29 papers shown

Title
Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning Isabella Caranzano Corrado Pancotti Cesare Rollo Flavio Sartori Pietro Liò P. Fariselli Tiziana Sanavia OOD UQCV 60 0 0 07 May 2025
Localized Distributional Robustness in Submodular Multi-Task Subset Selection Ege C. Kaya Abolfazl Hashemi 24 2 0 04 Apr 2024
Deletion Robust Non-Monotone Submodular Maximization over Matroids Paul Dutting Federico Fusco Silvio Lattanzi A. Norouzi-Fard Morteza Zadimoghaddam 26 3 0 16 Aug 2022
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback Tianyi Lin Aldo Pacchiano Yaodong Yu Michael I. Jordan 26 0 0 15 May 2022
Deletion Robust Submodular Maximization over Matroids Paul Dutting Federico Fusco Silvio Lattanzi A. Norouzi-Fard Morteza Zadimoghaddam 35 15 0 31 Jan 2022
Safe Screening for the Generalized Conditional Gradient Method Yifan Sun Francis R. Bach 27 9 0 22 Feb 2020
On the Effectiveness of Richardson Extrapolation in Machine Learning Francis R. Bach 13 9 0 07 Feb 2020
Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms K. S. S. Kumar M. Deisenroth 16 6 0 13 May 2019
Human-in-the-Loop Interpretability Prior Isaac Lage A. Ross Been Kim S. Gershman Finale Doshi-Velez 32 120 0 29 May 2018
Deep Submodular Functions J. Bilmes Wenruo Bai 13 45 0 31 Jan 2017
Style Imitation and Chord Invention in Polyphonic Music with Exponential Families Gaëtan Hadjeres Jason Sakellariou F. Pachet 16 18 0 16 Sep 2016
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains Yatao Bian Baharan Mirzasoleiman J. M. Buhmann Andreas Krause 16 146 0 17 Jun 2016
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses Jiaqian Yu Matthew Blaschko 22 38 0 24 Dec 2015
New Optimisation Methods for Machine Learning Aaron Defazio 38 6 0 09 Oct 2015
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements Christos Thrampoulidis Ehsan Abbasi B. Hassibi 33 116 0 06 Jun 2015
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation Aaron Defazio T. Caetano 41 40 0 10 Jul 2014
Learning Model-Based Sparsity via Projected Gradient Descent S. Bahmani P. Boufounos Bhiksha Raj 34 18 0 07 Sep 2012
Convex Relaxation for Combinatorial Penalties G. Obozinski Francis R. Bach 56 62 0 06 May 2012
Weakly decomposable regularization penalties and structured sparsity Sara van de Geer 80 63 0 21 Apr 2012
Learning Hierarchical and Topographic Dictionaries with Structured Sparsity Julien Mairal Rodolphe Jenatton G. Obozinski Francis R. Bach 33 18 0 20 Oct 2011
Group Lasso with Overlaps: the Latent Group Lasso approach G. Obozinski Laurent Jacob Jean-Philippe Vert 85 181 0 03 Oct 2011
Structured sparsity through convex optimization Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 74 323 0 12 Sep 2011
A General Framework for Structured Sparsity via Proximal Optimization Andreas Argyriou Luca Baldassarre Jean Morales Massimiliano Pontil 38 21 0 26 Jun 2011
Structured Sparsity via Alternating Direction Methods Zhiwei Qin D. Goldfarb 46 77 0 04 May 2011
Convex and Network Flow Optimization for Structured Sparsity Julien Mairal Rodolphe Jenatton G. Obozinski Francis R. Bach 54 108 0 11 Apr 2011
Multi-label Learning via Structured Decomposition and Group Sparsity Dinesh Manocha Dacheng Tao 47 2 0 01 Mar 2011
Shaping Level Sets with Submodular Functions Francis R. Bach 72 25 0 07 Dec 2010
Convex Analysis and Optimization with Submodular Functions: a Tutorial Francis R. Bach 56 36 0 20 Oct 2010
Network Flow Algorithms for Structured Sparsity Julien Mairal Rodolphe Jenatton G. Obozinski Francis R. Bach 39 172 0 31 Aug 2010