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PRISMA: PRoximal Iterative SMoothing Algorithm
v1v2 (latest)

PRISMA: PRoximal Iterative SMoothing Algorithm

11 June 2012
Francesco Orabona
Andreas Argyriou
Nathan Srebro
ArXiv (abs)PDFHTML

Papers citing "PRISMA: PRoximal Iterative SMoothing Algorithm"

17 / 17 papers shown
Higher-Order Accelerated Methods for Faster Non-Smooth Optimization
Higher-Order Accelerated Methods for Faster Non-Smooth Optimization
Brian Bullins
Richard Peng
306
11
0
04 Jun 2019
ASVRG: Accelerated Proximal SVRG
ASVRG: Accelerated Proximal SVRG
Fanhua Shang
L. Jiao
Kaiwen Zhou
James Cheng
Yan Ren
Yufei Jin
ODL
352
36
0
07 Oct 2018
Direct Acceleration of SAGA using Sampled Negative Momentum
Direct Acceleration of SAGA using Sampled Negative MomentumInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Kaiwen Zhou
384
47
0
28 Jun 2018
Dynamic Assortment Personalization in High Dimensions
Dynamic Assortment Personalization in High Dimensions
Nathan Kallus
Madeleine Udell
483
76
0
18 Oct 2016
Max-Norm Optimization for Robust Matrix Recovery
Max-Norm Optimization for Robust Matrix Recovery
Ethan X. Fang
Han Liu
Kim-Chuan Toh
Wen-Xin Zhou
246
36
0
24 Sep 2016
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than
  $O(1/ε)$
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/ε)O(1/ε)O(1/ε)Neural Information Processing Systems (NeurIPS), 2016
Yi Tian Xu
Yan Yan
Qihang Lin
Tianbao Yang
302
25
0
13 Jul 2016
Continuation of Nesterov's Smoothing for Regression with Structured
  Sparsity in High-Dimensional Neuroimaging
Continuation of Nesterov's Smoothing for Regression with Structured Sparsity in High-Dimensional Neuroimaging
F. Hadj-Selem
Tommy Löfstedt
Elvis Dohmatob
V. Frouin
Mathieu Dubois
V. Guillemot
Edouard Duchesnay
513
4
0
31 May 2016
Tight Complexity Bounds for Optimizing Composite Objectives
Tight Complexity Bounds for Optimizing Composite Objectives
Blake E. Woodworth
Nathan Srebro
553
196
0
25 May 2016
Optimal Black-Box Reductions Between Optimization Objectives
Optimal Black-Box Reductions Between Optimization Objectives
Zeyuan Allen-Zhu
Elad Hazan
392
96
0
17 Mar 2016
Fast Nonsmooth Regularized Risk Minimization with Continuation
Fast Nonsmooth Regularized Risk Minimization with Continuation
Shuai Zheng
Ruiliang Zhang
James T. Kwok
257
1
0
25 Feb 2016
Decomposition into Low-rank plus Additive Matrices for
  Background/Foreground Separation: A Review for a Comparative Evaluation with
  a Large-Scale Dataset
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
T. Bouwmans
A. Sobral
S. Javed
Soon Ki Jung
E. Zahzah
398
344
0
04 Nov 2015
MAGMA: Multi-level accelerated gradient mirror descent algorithm for
  large-scale convex composite minimization
MAGMA: Multi-level accelerated gradient mirror descent algorithm for large-scale convex composite minimization
Vahan Hovhannisyan
P. Parpas
Stefanos Zafeiriou
354
30
0
18 Sep 2015
Revealed Preference at Scale: Learning Personalized Preferences from
  Assortment Choices
Revealed Preference at Scale: Learning Personalized Preferences from Assortment Choices
Nathan Kallus
Madeleine Udell
272
13
0
17 Sep 2015
Adaptive Smoothing Algorithms for Nonsmooth Composite Convex
  Minimization
Adaptive Smoothing Algorithms for Nonsmooth Composite Convex MinimizationComputational optimization and applications (COA), 2015
Quoc Tran-Dinh
450
29
0
01 Sep 2015
Inference for Sparse Conditional Precision Matrices
Inference for Sparse Conditional Precision Matrices
Jialei Wang
Mladen Kolar
387
23
0
24 Dec 2014
Online Optimization for Large-Scale Max-Norm Regularization
Online Optimization for Large-Scale Max-Norm Regularization
Jie Shen
Huan Xu
P. Li
341
0
0
12 Jun 2014
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to
  Sparse and Low Rank Regularization
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization
Andreas Argyriou
Marco Signoretto
Johan A. K. Suykens
516
24
0
14 Apr 2014
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