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-class svms: From tighter data-dependent generalization bounds to novel algorithms
Y Lei, U Dogan, A Binder, M Kloft
Advances in Neural Information Processing Systems, 2035-2043, 2015
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
Multi-task learning for contextual bandits
AA Deshmukh, U Dogan, C Scott
Advances in neural information processing systems, 4848-4856, 2017
Accelerated coordinate descent with adaptive coordinate frequencies
T Glasmachers, U Dogan
Asian Conference on Machine Learning, 72-86, 2013
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
U Dogan, T Glasmachers, C Igel
Faculty of Science, University of Copenhagen: Copenhagen, Denmark, 2011
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
Domain generalization by marginal transfer learning
G Blanchard, AA Deshmukh, U Dogan, G Lee, C Scott
arXiv preprint arXiv:1711.07910, 2017
Localized multiple kernel learning—a convex approach
Y Lei, A Binder, U Dogan, M Kloft
Asian Conference on Machine Learning, 81-96, 2016
A simple extension of stability feature selection
A Beinrucker, ‹ Dogan, G Blanchard
Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium†…, 2012
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
Distributed optimization of multi-class SVMs
M Alber, J Zimmert, U Dogan, M Kloft
PloS one 12 (6), e0178161, 2017
Decoding multitask dqn in the world of minecraft
LT Liu, U Dogan, K Hofmann
The 13th European Workshop on Reinforcement Learning (EWRL) 2016, 2016
Early stopping for mutual information based feature selection
A Beinrucker, ‹ Dogan, G Blanchard
Proceedings of the 21st International Conference on Pattern Recognition†…, 2012
Coordinate descent with online adaptation of coordinate frequencies
T Glasmachers, ‹ Dogan
arXiv preprint arXiv:1401.3737, 2014
Generalization error bounds for extreme multi-class classification
Y Lei, ‹ Dogan, D Zhou, M Kloft
CoRR, abs/1706.09814, 2017
A note on extending generalization bounds for binary large-margin classifiers to multiple classes
‹ Dogan, T Glasmachers, C Igel
Joint European Conference on Machine Learning and Knowledge Discovery in†…, 2012
Label-similarity Curriculum Learning
U Dogan, AA Deshmukh, M Machura, C Igel
arXiv preprint arXiv:1911.06902, 2019
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