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Tight Bounds on Low-degree Spectral Concentration of Submodular and XOS
  functions
v1v2 (latest)

Tight Bounds on Low-degree Spectral Concentration of Submodular and XOS functions

13 April 2015
Vitaly Feldman
J. Vondrák
ArXiv (abs)PDFHTML

Papers citing "Tight Bounds on Low-degree Spectral Concentration of Submodular and XOS functions"

6 / 6 papers shown
Title
Testing distributional assumptions of learning algorithms
Testing distributional assumptions of learning algorithms
R. Rubinfeld
Arsen Vasilyan
OOD
43
19
0
14 Apr 2022
Going Deeper for Multilingual Visual Sentiment Detection
Going Deeper for Multilingual Visual Sentiment Detection
Maria-Florina Balcan
Colin White
ObjD
77
25
0
30 May 2016
Submodular Optimization under Noise
Submodular Optimization under Noise
Avinatan Hassidim
Yaron Singer
97
68
0
12 Jan 2016
The Limitations of Optimization from Samples
The Limitations of Optimization from Samples
Eric Balkanski
A. Rubinstein
Yaron Singer
84
58
0
19 Dec 2015
Tight Bounds on $\ell_1$ Approximation and Learning of Self-Bounding
  Functions
Tight Bounds on ℓ1\ell_1ℓ1​ Approximation and Learning of Self-Bounding Functions
Vitaly Feldman
Pravesh Kothari
J. Vondrák
66
3
0
18 Apr 2014
Submodular Functions: Learnability, Structure, and Optimization
Submodular Functions: Learnability, Structure, and Optimization
Maria-Florina Balcan
Nicholas J. A. Harvey
136
31
0
12 Aug 2010
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