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Differentiable Submodular Maximization

Differentiable Submodular Maximization

5 March 2018
Sebastian Tschiatschek
Aytunc Sahin
Andreas Krause
ArXivPDFHTML

Papers citing "Differentiable Submodular Maximization"

6 / 6 papers shown
Title
Leaving the Nest: Going Beyond Local Loss Functions for
  Predict-Then-Optimize
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize
Sanket Shah
Andrew Perrault
Bryan Wilder
Milind Tambe
21
9
0
26 May 2023
Neural Estimation of Submodular Functions with Applications to
  Differentiable Subset Selection
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
A. De
Soumen Chakrabarti
16
4
0
20 Oct 2022
Minimax Optimization: The Case of Convex-Submodular
Minimax Optimization: The Case of Convex-Submodular
Arman Adibi
Aryan Mokhtari
Hamed Hassani
8
7
0
01 Nov 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete
  Stochasticity in Machine Learning
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
26
93
0
04 Oct 2021
Rule Extraction from Binary Neural Networks with Convolutional Rules for
  Model Validation
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation
Sophie Burkhardt
Jannis Brugger
Nicolas Wagner
Zahra Ahmadi
Kristian Kersting
Stefan Kramer
NAI
FAtt
23
8
0
15 Dec 2020
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
Chris Wendler
Andisheh Amrollahi
B. Seifert
Andreas Krause
Markus Püschel
12
9
0
01 Oct 2020
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