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Greedy Algorithms for Cone Constrained Optimization with Convergence
  Guarantees
v1v2v3 (latest)

Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees

31 May 2017
Francesco Locatello
Michael Tschannen
Gunnar Rätsch
Martin Jaggi
ArXiv (abs)PDFHTML

Papers citing "Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees"

7 / 7 papers shown
Title
Coresets via Bilevel Optimization for Continual Learning and Streaming
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalan Borsos
Mojmír Mutný
Andreas Krause
CLL
89
241
0
06 Jun 2020
Boosting Frank-Wolfe by Chasing Gradients
Boosting Frank-Wolfe by Chasing Gradients
Cyrille W. Combettes
Sebastian Pokutta
76
29
0
13 Mar 2020
Sparse Variational Inference: Bayesian Coresets from Scratch
Sparse Variational Inference: Bayesian Coresets from Scratch
Trevor Campbell
Boyan Beronov
82
38
0
07 Jun 2019
Quadratic Decomposable Submodular Function Minimization: Theory and
  Practice (Computation and Analysis of PageRank over Hypergraphs)
Quadratic Decomposable Submodular Function Minimization: Theory and Practice (Computation and Analysis of PageRank over Hypergraphs)
Pan Li
Niao He
O. Milenkovic
113
26
0
26 Feb 2019
Learning with Fenchel-Young Losses
Learning with Fenchel-Young Losses
Mathieu Blondel
André F. T. Martins
Vlad Niculae
174
137
0
08 Jan 2019
On Matching Pursuit and Coordinate Descent
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
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Trevor Campbell
Tamara Broderick
90
137
0
05 Feb 2018
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