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Submodular Optimization under Noise
v1v2v3 (latest)

Submodular Optimization under Noise

12 January 2016
Avinatan Hassidim
Yaron Singer
ArXiv (abs)PDFHTML

Papers citing "Submodular Optimization under Noise"

12 / 12 papers shown
Title
Deep Submodular Functions
Deep Submodular Functions
J. Bilmes
Wenruo Bai
67
45
0
31 Jan 2017
Restricted Strong Convexity Implies Weak Submodularity
Restricted Strong Convexity Implies Weak Submodularity
Ethan R. Elenberg
Rajiv Khanna
A. Dimakis
S. Negahban
68
159
0
02 Dec 2016
Noisy Submodular Maximization via Adaptive Sampling with Applications to
  Crowdsourced Image Collection Summarization
Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization
Adish Singla
Sebastian Tschiatschek
Andreas Krause
55
66
0
23 Nov 2015
Tight Bounds on Low-degree Spectral Concentration of Submodular and XOS
  functions
Tight Bounds on Low-degree Spectral Concentration of Submodular and XOS functions
Vitaly Feldman
J. Vondrák
44
15
0
13 Apr 2015
Optimal Bounds on Approximation of Submodular and XOS Functions by
  Juntas
Optimal Bounds on Approximation of Submodular and XOS Functions by Juntas
Vitaly Feldman
J. Vondrák
87
51
0
12 Jul 2013
Learning Coverage Functions and Private Release of Marginals
Learning Coverage Functions and Private Release of Marginals
Vitaly Feldman
Pravesh Kothari
99
41
0
08 Apr 2013
Representation, Approximation and Learning of Submodular Functions Using
  Low-rank Decision Trees
Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees
Vitaly Feldman
Pravesh Kothari
J. Vondrák
82
32
0
02 Apr 2013
Learning Valuation Functions
Learning Valuation Functions
Maria-Florina Balcan
Florin Constantin
S. Iwata
Lei Wang
95
63
0
29 Aug 2011
Submodular meets Spectral: Greedy Algorithms for Subset Selection,
  Sparse Approximation and Dictionary Selection
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
Abhimanyu Das
David Kempe
202
484
0
19 Feb 2011
Inferring Networks of Diffusion and Influence
Inferring Networks of Diffusion and Influence
Manuel Gomez Rodriguez
J. Leskovec
Andreas Krause
117
1,152
0
01 Jun 2010
Adaptive Submodularity: Theory and Applications in Active Learning and
  Stochastic Optimization
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization
Daniel Golovin
Andreas Krause
145
603
0
21 Mar 2010
Online Distributed Sensor Selection
Online Distributed Sensor Selection
Daniel Golovin
Matthew Faulkner
Andreas Krause
87
76
0
09 Feb 2010
1