Urun Dogan
Urun Dogan
Researcher, Microsoft
Verified email at microsoft.com
Cited by
Cited by
A Unified View on Multi-class Support Vector Classification.
‹ Dogan, T Glasmachers, C Igel
J. Mach. Learn. Res. 17 (45), 1-32, 2016
Autonomous driving: A comparison of machine learning techniques by means of the prediction of lane change behavior
‹ Dogan, J Edelbrunner, I Iossifidis
2011 IEEE International Conference on Robotics and Biomimetics, 1837-1843, 2011
Multi-task learning for contextual bandits
AA Deshmukh, U Dogan, C Scott
Advances in Neural Information Processing Systems, 4848-4856, 2017
Multi-class svms: From tighter data-dependent generalization bounds to novel algorithms
Y Lei, ‹ Dogan, A Binder, M Kloft
arXiv preprint arXiv:1506.04359, 2015
Domain Generalization by Marginal Transfer Learning.
G Blanchard, AA Deshmukh, ‹ Dogan, G Lee, C Scott
J. Mach. Learn. Res. 22, 2:1-2:55, 2021
Accelerated coordinate descent with adaptive coordinate frequencies
T Glasmachers, U Dogan
Asian Conference on Machine Learning, 72-86, 2013
Towards a driver model: Preliminary study of lane change behavior
U Dogan, H Edelbrunner, I Iossifidis
2008 11th International IEEE Conference on Intelligent Transportation†…, 2008
Data-dependent generalization bounds for multi-class classification
Y Lei, ‹ Dogan, DX Zhou, M Kloft
IEEE Transactions on Information Theory 65 (5), 2995-3021, 2019
Extensions of stability selection using subsamples of observations and covariates
A Beinrucker, ‹ Dogan, G Blanchard
Statistics and Computing 26 (5), 1059-1077, 2016
Fast training of multi-class support vector machines
‹ Dogan, T Glasmachers, C Igel
Department of Computer Science, University of Copenhagen, 2011
Localized multiple kernel learning—a convex approach
Y Lei, A Binder, U Dogan, M Kloft
Asian Conference on Machine Learning, 81-96, 2016
Decoding multitask dqn in the world of minecraft
LT Liu, U Dogan, K Hofmann
The 13th European Workshop on Reinforcement Learning (EWRL) 2016, 2016
Distributed optimization of multi-class SVMs
M Alber, J Zimmert, U Dogan, M Kloft
PloS one 12 (6), e0178161, 2017
A generalization error bound for multi-class domain generalization
AA Deshmukh, Y Lei, S Sharma, U Dogan, JW Cutler, C Scott
arXiv preprint arXiv:1905.10392, 2019
Theory and Algorithms for the Localized Setting of Learning Kernels
MK Yunwen Lei, Alexander Binder, UrŁn Dogan
JMLR: Workshop and Conference Proceedings 44, 173-195, 2015
A simple extension of stability feature selection
A Beinrucker, ‹ Dogan, G Blanchard
Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium†…, 2012
Label-similarity curriculum learning
‹ Dogan, AA Deshmukh, MB Machura, C Igel
European Conference on Computer Vision, 174-190, 2020
Zero Shot Domain Generalization
U Maniyar, AA Deshmukh, U Dogan, VN Balasubramanian
arXiv preprint arXiv:2008.07443, 2020
Early stopping for mutual information based feature selection
A Beinrucker, ‹ Dogan, G Blanchard
Proceedings of the 21st International Conference on Pattern Recognition†…, 2012
Consensus clustering with unsupervised representation learning
JR Regatti, AA Deshmukh, E Manavoglu, U Dogan
2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021
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