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

21 February 2017

Francesco Locatello

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

20 / 20 papers shown

Title
Robust Gaussian Processes via Relevance Pursuit Sebastian Ament Elizabeth Santorella David Eriksson Ben Letham Maximilian Balandat E. Bakshy GP 69 1 0 08 Jan 2025
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder Ernesto De Vito Lorenzo Rosasco 65 5 0 22 Nov 2023
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 99 6 0 14 Dec 2022
A Stochastic Bundle Method for Interpolating Networks Alasdair Paren Leonard Berrada Rudra P. K. Poudel M. P. Kumar 71 4 0 29 Jan 2022
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures Anshumali Shrivastava Zhao Song Zhaozhuo Xu 98 28 0 30 Nov 2021
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond Đ.Khuê Lê-Huu Alahari Karteek 93 12 0 27 Oct 2021
Boosting Variational Inference With Locally Adaptive Step-Sizes Gideon Dresdner Saurav Shekhar Fabian Pedregosa Francesco Locatello Gunnar Rätsch 36 2 0 19 May 2021
Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization Hassan Mortagy Swati Gupta Sebastian Pokutta 71 7 0 15 Jun 2020
Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity Dan Garber 67 22 0 31 May 2020
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features Liang Ding Rui Tuo Shahin Shahrampour 41 8 0 11 Feb 2020
Training Neural Networks for and by Interpolation Leonard Berrada Andrew Zisserman M. P. Kumar 3DH 74 63 0 13 Jun 2019
Blended Matching Pursuit Cyrille W. Combettes Sebastian Pokutta 60 5 0 28 Apr 2019
Frank-Wolfe Algorithm for the Exact Sparse Problem Farah Cherfaoui Valentin Emiya L. Ralaivola S. Anthoine 32 0 0 18 Dec 2018
A Bandit Approach to Maximum Inner Product Search Rui Liu Tianyi Wu Barzan Mozafari 108 15 0 15 Dec 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 81 32 0 06 Jun 2018
Bayesian posterior approximation via greedy particle optimization Futoshi Futami Zhenghang Cui Issei Sato Masashi Sugiyama 78 22 0 21 May 2018
On Matching Pursuit and Coordinate Descent Francesco Locatello Anant Raj Sai Praneeth Karimireddy Gunnar Rätsch Bernhard Schölkopf Sebastian U. Stich Martin Jaggi 98 23 0 26 Mar 2018
Frank-Wolfe with Subsampling Oracle Thomas Kerdreux Fabian Pedregosa Alexandre d’Aspremont 57 18 0 20 Mar 2018
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees Francesco Locatello Michael Tschannen Gunnar Rätsch Martin Jaggi 81 26 0 31 May 2017
On Approximation Guarantees for Greedy Low Rank Optimization Rajiv Khanna Ethan R. Elenberg A. Dimakis S. Negahban 83 24 0 08 Mar 2017