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Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization

Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization

Francis R. Bach
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Papers citing "Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization"

5 / 5 papers shown
Title
Revisiting Matching Pursuit: Beyond Approximate Submodularity
Revisiting Matching Pursuit: Beyond Approximate Submodularity
E. Tohidi
M. Coutiño
David Gesbert
64
2
0
12 May 2023
All your loss are belong to Bayes
All your loss are belong to Bayes
Christian J. Walder
Richard Nock
61
5
0
08 Jun 2020
gfpop: an R Package for Univariate Graph-Constrained Change-Point Detection
gfpop: an R Package for Univariate Graph-Constrained Change-Point Detection
Vincent Runge
T. Hocking
Gaetano Romano
Fatemeh Afghah
Paul Fearnhead
G. Rigaill
59
13
0
10 Feb 2020
Efficient Second-Order Shape-Constrained Function Fitting
Efficient Second-Order Shape-Constrained Function Fitting
D. Durfee
Yu Gao
Anup B. Rao
Sebastian Wild
15
2
0
06 May 2019
Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization
Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization
Yibo Jacky Zhang
Chao Qian
K. Tang
55
0
0
16 Oct 2018