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ORCIDÜrün Dogan
Person information
- affiliation: Meta, Menlo Park, CA, USA
- affiliation: Microsoft, Mountain View, CA, USA
- affiliation: Microsoft Research, Cambridge, UK
- affiliation: University of Potsdam, Institute of Mathematics, Germany
- affiliation (PhD): University of Bochum, Germany
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2020 – today
- 2024
[c15]Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau:
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. ICRA 2024: 9154-9160- 2023
- [i17]Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau:
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. CoRR abs/2306.00867 (2023) - [i16]Zheqing Zhu, Rodrigo de Salvo Braz, Jalaj Bhandari, Daniel Jiang, Yi Wan, Yonathan Efroni, Liyuan Wang, Ruiyang Xu, Hongbo Guo, Alex Nikulkov, Dmytro Korenkevych, Ürün Dogan, Frank Cheng, Zheng Wu, Wanqiao Xu:
Pearl: A Production-ready Reinforcement Learning Agent. CoRR abs/2312.03814 (2023) - 2022
- [j5]Aniket Anand Deshmukh
, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan:
Representation learning for clustering via building consensus. Mach. Learn. 111(12): 4601-4638 (2022) - 2021
- [j4]Gilles Blanchard, Aniket Anand Deshmukh, Ürün Dogan, Gyemin Lee, Clayton Scott:
Domain Generalization by Marginal Transfer Learning. J. Mach. Learn. Res. 22: 2:1-2:55 (2021) - [c14]Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan:
Consensus Clustering With Unsupervised Representation Learning. IJCNN 2021: 1-9 - [c13]Vaasudev Narayanan, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian:
On Challenges in Unsupervised Domain Generalization. Pre-Registration Workshop @ NeurIPS 2021: 42-58 - [i15]Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan:
Representation Learning for Clustering via Building Consensus. CoRR abs/2105.01289 (2021) - [i14]Jayanth Reddy Regatti, Aniket Anand Deshmukh, Frank Cheng, Young Hun Jung, Abhishek Gupta, Ürün Dogan:
Offline RL With Resource Constrained Online Deployment. CoRR abs/2110.03165 (2021) - 2020
- [c12]Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian:
Zero-Shot Domain Generalization. BMVC 2020 - [c11]Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel:
Label-Similarity Curriculum Learning. ECCV (29) 2020: 174-190 - [i13]Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu:
Data Transformation Insights in Self-supervision with Clustering Tasks. CoRR abs/2002.07384 (2020) - [i12]Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan:
Self-Supervised Contextual Bandits in Computer Vision. CoRR abs/2003.08485 (2020) - [i11]Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian:
Zero Shot Domain Generalization. CoRR abs/2008.07443 (2020) - [i10]Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan:
Consensus Clustering with Unsupervised Representation Learning. CoRR abs/2010.01245 (2020)
2010 – 2019
- 2019
- [j3]Yunwen Lei, Ürün Dogan, Ding-Xuan Zhou, Marius Kloft:
Data-Dependent Generalization Bounds for Multi-Class Classification. IEEE Trans. Inf. Theory 65(5): 2995-3021 (2019) - [i9]Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma, Ürün Dogan, James W. Cutler, Clayton Scott:
A Generalization Error Bound for Multi-class Domain Generalization. CoRR abs/1905.10392 (2019) - [i8]Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel:
Label-similarity Curriculum Learning. CoRR abs/1911.06902 (2019) - 2017
- [c10]Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott:
Multi-Task Learning for Contextual Bandits. NIPS 2017: 4848-4856 - [i7]Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott:
Multi-Task Learning for Contextual Bandits. CoRR abs/1705.08618 (2017) - [i6]Yunwen Lei, Ürün Dogan, Ding-Xuan Zhou, Marius Kloft:
Generalization Error Bounds for Extreme Multi-class Classification. CoRR abs/1706.09814 (2017) - 2016
- [j2]Ürün Dogan, Tobias Glasmachers, Christian Igel:
A Unified View on Multi-class Support Vector Classification. J. Mach. Learn. Res. 17: 45:1-45:32 (2016) - [j1]Andre Beinrucker, Ürün Dogan, Gilles Blanchard:
Extensions of stability selection using subsamples of observations and covariates. Stat. Comput. 26(5): 1059-1077 (2016) - [c9]Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft:
Localized Multiple Kernel Learning - A Convex Approach. ACML 2016: 81-96 - [i5]Maximilian Alber, Julian Zimmert, Ürün Dogan, Marius Kloft:
Distributed Optimization of Multi-Class SVMs. CoRR abs/1611.08480 (2016) - 2015
- [c8]Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft:
Theory and Algorithms for the Localized Setting of Learning Kernels. FE@NIPS 2015: 173-195 - [c7]Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft:
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms. NIPS 2015: 2035-2043 - [i4]Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft:
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms. CoRR abs/1506.04359 (2015) - [i3]Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft:
Localized Multiple Kernel Learning - A Convex Approach. CoRR abs/1506.04364 (2015) - 2014
- [i2]Tobias Glasmachers, Ürün Dogan:
Coordinate Descent with Online Adaptation of Coordinate Frequencies. CoRR abs/1401.3737 (2014) - 2013
- [c6]Tobias Glasmachers, Ürün Dogan:
Accelerated Coordinate Descent with Adaptive Coordinate Frequencies. ACML 2013: 72-86 - [i1]Tobias Glasmachers, Ürün Dogan:
Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies. CoRR abs/1302.5608 (2013) - 2012
- [c5]Andre Beinrucker, Ürün Dogan, Gilles Blanchard:
A Simple Extension of Stability Feature Selection. DAGM/OAGM Symposium 2012: 256-265 - [c4]Andre Beinrucker, Ürün Dogan, Gilles Blanchard:
Early stopping for mutual information based feature selection. ICPR 2012: 975-978 - [c3]Ürün Dogan, Tobias Glasmachers, Christian Igel:
A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes. ECML/PKDD (1) 2012: 122-129 - 2011
- [c2]Ürün Dogan, Johann Edelbrunner, Ioannis Iossifidis:
Autonomous driving: A comparison of machine learning techniques by means of the prediction of lane change behavior. ROBIO 2011: 1837-1843
2000 – 2009
- 2008
- [c1]Ürün Dogan, Johann Edelbrunner, Ioannis Iossifidis:
Towards a Driver Model: Preliminary Study of Lane Change Behavior. ITSC 2008: 931-937
Coauthor Index
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last updated on 2024-09-13 00:42 CEST by the dblp team
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