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Optimal Algorithms for Continuous Non-monotone Submodular and
  DR-Submodular Maximization

Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization

24 May 2018
Rad Niazadeh
Tim Roughgarden
Joshua R. Wang
ArXivPDFHTML

Papers citing "Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization"

10 / 10 papers shown
Title
Stochastic Conditional Gradient Methods: From Convex Minimization to
  Submodular Maximization
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
44
113
0
24 Apr 2018
Online Continuous Submodular Maximization
Online Continuous Submodular Maximization
Lin Chen
Hamed Hassani
Amin Karbasi
61
85
0
16 Feb 2018
Conditional Gradient Method for Stochastic Submodular Maximization:
  Closing the Gap
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap
Aryan Mokhtari
S. Hassani
Amin Karbasi
36
72
0
05 Nov 2017
Continuous DR-submodular Maximization: Structure and Algorithms
Continuous DR-submodular Maximization: Structure and Algorithms
Yatao Bian
Kfir Y. Levy
Andreas Krause
J. M. Buhmann
66
66
0
04 Nov 2017
Gradient Methods for Submodular Maximization
Gradient Methods for Submodular Maximization
Hamed Hassani
Mahdi Soltanolkotabi
Amin Karbasi
24
131
0
13 Aug 2017
Robust Budget Allocation via Continuous Submodular Functions
Robust Budget Allocation via Continuous Submodular Functions
Matthew Staib
Stefanie Jegelka
30
54
0
28 Feb 2017
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and
  Constrained Sampling
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
Chengtao Li
Stefanie Jegelka
S. Sra
38
38
0
02 Aug 2016
Guaranteed Non-convex Optimization: Submodular Maximization over
  Continuous Domains
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
Yatao Bian
Baharan Mirzasoleiman
J. M. Buhmann
Andreas Krause
48
148
0
17 Jun 2016
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
213
1,130
0
25 Jul 2012
Learning with Submodular Functions: A Convex Optimization Perspective
Learning with Submodular Functions: A Convex Optimization Perspective
Francis R. Bach
121
476
0
28 Nov 2011
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