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A Unified Optimization View on Generalized Matching Pursuit and
  Frank-Wolfe

A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe

21 February 2017
Francesco Locatello
Rajiv Khanna
Michael Tschannen
Martin Jaggi
ArXivPDFHTML

Papers citing "A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe"

11 / 11 papers shown
Title
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via
  Leverage Scores Sampling
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic
Nicolas Schreuder
Ernesto De Vito
Lorenzo Rosasco
35
3
0
22 Nov 2023
Faster Maximum Inner Product Search in High Dimensions
Faster Maximum Inner Product Search in High Dimensions
Mo Tiwari
Ryan Kang
Je-Yong Lee
Luke Lee
Chris Piech
Sebastian Thrun
Ilan Shomorony
Martin Jinye Zhang
39
6
0
14 Dec 2022
A Stochastic Bundle Method for Interpolating Networks
A Stochastic Bundle Method for Interpolating Networks
Alasdair Paren
Leonard Berrada
Rudra P. K. Poudel
M. P. Kumar
31
4
0
29 Jan 2022
Breaking the Linear Iteration Cost Barrier for Some Well-known
  Conditional Gradient Methods Using MaxIP Data-structures
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
Anshumali Shrivastava
Zhao Song
Zhaozhuo Xu
41
28
0
30 Nov 2021
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and
  Beyond
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
Đ.Khuê Lê-Huu
Alahari Karteek
41
12
0
27 Oct 2021
Walking in the Shadow: A New Perspective on Descent Directions for
  Constrained Minimization
Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization
Hassan Mortagy
Swati Gupta
Sebastian Pokutta
32
7
0
15 Jun 2020
A Bandit Approach to Maximum Inner Product Search
A Bandit Approach to Maximum Inner Product Search
Rui Liu
Tianyi Wu
Barzan Mozafari
16
15
0
15 Dec 2018
Boosting Black Box Variational Inference
Boosting Black Box Variational Inference
Francesco Locatello
Gideon Dresdner
Rajiv Khanna
Isabel Valera
Gunnar Rätsch
59
31
0
06 Jun 2018
Bayesian posterior approximation via greedy particle optimization
Bayesian posterior approximation via greedy particle optimization
Futoshi Futami
Zhenghang Cui
Issei Sato
Masashi Sugiyama
38
22
0
21 May 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse
  Coding
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding
Dong Liu
Ke Sun
Zhangyang Wang
Runsheng Liu
Zhengjun Zha
29
12
0
28 Feb 2018
Greedy Algorithms for Cone Constrained Optimization with Convergence
  Guarantees
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
Francesco Locatello
Michael Tschannen
Gunnar Rätsch
Martin Jaggi
24
26
0
31 May 2017
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