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Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases

Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases

1 October 2020
Chris Wendler
Andisheh Amrollahi
B. Seifert
Andreas Krause
Markus Püschel
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Papers citing "Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases"

5 / 5 papers shown
Title
Learning Set Functions with Implicit Differentiation
Learning Set Functions with Implicit Differentiation
Gözde Özcan
Chengzhi Shi
Stratis Ioannidis
69
0
0
15 Dec 2024
Learning to Understand: Identifying Interactions via the Möbius
  Transform
Learning to Understand: Identifying Interactions via the Möbius Transform
J. S. Kang
Y. E. Erginbas
Landon Butler
Ramtin Pedarsani
K. Ramchandran
22
3
0
04 Feb 2024
Submodularity In Machine Learning and Artificial Intelligence
Submodularity In Machine Learning and Artificial Intelligence
J. Bilmes
8
52
0
31 Jan 2022
Discrete Signal Processing with Set Functions
Discrete Signal Processing with Set Functions
Markus Püschel
Chris Wendler
8
17
0
28 Jan 2020
Learning pseudo-Boolean k-DNF and Submodular Functions
Learning pseudo-Boolean k-DNF and Submodular Functions
Sofya Raskhodnikova
G. Yaroslavtsev
47
26
0
10 Aug 2012
1