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Overcoming Saturation in Density Ratio Estimation by Iterated
  Regularization

Overcoming Saturation in Density Ratio Estimation by Iterated Regularization

21 February 2024
Lukas Gruber
Markus Holzleitner
Johannes Lehner
Sepp Hochreiter
Werner Zellinger
ArXivPDFHTML

Papers citing "Overcoming Saturation in Density Ratio Estimation by Iterated Regularization"

4 / 4 papers shown
Title
Binary Losses for Density Ratio Estimation
Binary Losses for Density Ratio Estimation
Werner Zellinger
48
0
0
28 Jan 2025
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by
  Aggregation
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
Marius-Constantin Dinu
Markus Holzleitner
M. Beck
Hoan Duc Nguyen
Andrea Huber
Hamid Eghbalzadeh
Bernhard A. Moser
S. Pereverzyev
Sepp Hochreiter
Werner Zellinger
31
11
0
02 May 2023
Estimating the Density Ratio between Distributions with High Discrepancy
  using Multinomial Logistic Regression
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression
Akash Srivastava
Seung-Jun Han
Kai Xu
Benjamin Rhodes
Michael U. Gutmann
31
11
0
01 May 2023
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,316
0
28 May 2015
1