Werner Zellinger
8 papers · 2019–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🏆 Keyword Champion (2)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(5)
Optimization & Theory · Machine Learning
(5)
Core Methods
(4)
Deep Learning
(3)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Mathematics
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
density ratio estimation
(3)
covariate shift adaptation
(2)
bregman divergence
(2)
domain adaptation
(2)
unsupervised domain adaptation
(2)
reproducing kernel hilbert space
(2)
mutual information
(1)
mutual information estimation
(1)
regularization parameter
(1)
two-sample testing
(1)
distance metric
(1)
inverse problem
(1)
loss function
(1)
generative adversarial network
(1)
mode collapse
(1)
gaussian mixture
(1)
relu neural network
(1)
linear region
(1)
minimax optimal error rate
(1)
radon-nikodym derivative
(1)
Papers
Binary Losses for Density Ratio Estimation
ICLR 2025
On Regularized Radon-Nikodym Differentiation
JMLR 2024
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
ICML 2024
Adaptive Learning of Density Ratios in RKHS
JMLR 2023
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
ICLR 2023
Tessellation-Filtering ReLU Neural Networks
IJCAI 2022
The balancing principle for parameter choice in distance-regularized domain adaptation
NeurIPS 2021
Mixture Density Generative Adversarial Networks
CVPR 2019