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Sample Complexity of Probability Divergences under Group Symmetry

Sample Complexity of Probability Divergences under Group Symmetry

3 February 2023
Ziyu Chen
Markos A. Katsoulakis
Luc Rey-Bellet
Weixia Zhu
ArXivPDFHTML

Papers citing "Sample Complexity of Probability Divergences under Group Symmetry"

11 / 11 papers shown
Title
Learning with Exact Invariances in Polynomial Time
Learning with Exact Invariances in Polynomial Time
Ashkan Soleymani
B. Tahmasebi
Stefanie Jegelka
Patrick Jaillet
170
0
0
27 Feb 2025
Sample Complexity Bounds for Estimating Probability Divergences under
  Invariances
Sample Complexity Bounds for Estimating Probability Divergences under Invariances
B. Tahmasebi
Stefanie Jegelka
76
6
0
06 Nov 2023
Statistical Guarantees of Group-Invariant GANs
Statistical Guarantees of Group-Invariant GANs
Ziyu Chen
Markos A. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
129
2
0
22 May 2023
Scalable Normalizing Flows for Permutation Invariant Densities
Scalable Normalizing Flows for Permutation Invariant Densities
Marin Bilos
Stephan Günnemann
TPM
26
24
0
07 Oct 2020
Variational Representations and Neural Network Estimation of Rényi
  Divergences
Variational Representations and Neural Network Estimation of Rényi Divergences
Jeremiah Birrell
P. Dupuis
Markos A. Katsoulakis
Luc Rey-Bellet
Jie Wang
36
32
0
07 Jul 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
76
604
0
18 Jun 2020
Graph Normalizing Flows
Graph Normalizing Flows
Jenny Liu
Aviral Kumar
Jimmy Ba
J. Kiros
Kevin Swersky
BDL
GNN
AI4CE
70
160
0
30 May 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
194
313
0
05 Nov 2018
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
152
9,509
0
31 Mar 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
104
1,648
0
02 Jun 2016
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
199
2,352
0
15 May 2008
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