Ürün Dogan

According to our database, Ürün Dogan authored at least 29 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Pearl: A Production-ready Reinforcement Learning Agent.

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

CoRR, 2023

IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control.

Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau

CoRR, 2023

2022

Representation learning for clustering via building consensus.

Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan

Mach. Learn., 2022

2021

Domain Generalization by Marginal Transfer Learning.

Gilles Blanchard, Aniket Anand Deshmukh, Ürün Dogan, Gyemin Lee, Clayton Scott

J. Mach. Learn. Res., 2021

Offline RL With Resource Constrained Online Deployment.

Jayanth Reddy Regatti, Aniket Anand Deshmukh, Frank Cheng, Young Hun Jung, Abhishek Gupta, Ürün Dogan

CoRR, 2021

On Challenges in Unsupervised Domain Generalization.

Vaasudev Narayanan, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian

Proceedings of the NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 2021

Consensus Clustering With Unsupervised Representation Learning.

Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Self-Supervised Contextual Bandits in Computer Vision.

Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan

CoRR, 2020

Data Transformation Insights in Self-supervision with Clustering Tasks.

Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu

CoRR, 2020

Label-Similarity Curriculum Learning.

Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel

Proceedings of the Computer Vision - ECCV 2020, 2020

Zero-Shot Domain Generalization.

Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Data-Dependent Generalization Bounds for Multi-Class Classification.

Yunwen Lei, Ürün Dogan, Ding-Xuan Zhou, Marius Kloft

IEEE Trans. Inf. Theory, 2019

A Generalization Error Bound for Multi-class Domain Generalization.

Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma, Ürün Dogan, James W. Cutler, Clayton Scott

CoRR, 2019

2017

Generalization Error Bounds for Extreme Multi-class Classification.

Yunwen Lei, Ürün Dogan, Ding-Xuan Zhou, Marius Kloft

CoRR, 2017

Multi-Task Learning for Contextual Bandits.

Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Extensions of stability selection using subsamples of observations and covariates.

Andre Beinrucker, Ürün Dogan, Gilles Blanchard

Stat. Comput., 2016

A Unified View on Multi-class Support Vector Classification.

Ürün Dogan, Tobias Glasmachers, Christian Igel

J. Mach. Learn. Res., 2016

Distributed Optimization of Multi-Class SVMs.

Maximilian Alber, Julian Zimmert, Ürün Dogan, Marius Kloft

CoRR, 2016

Localized Multiple Kernel Learning - A Convex Approach.

Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms.

Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Theory and Algorithms for the Localized Setting of Learning Kernels.

Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

2014

Coordinate Descent with Online Adaptation of Coordinate Frequencies.

Tobias Glasmachers, Ürün Dogan

CoRR, 2014

2013

Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies

Tobias Glasmachers, Ürün Dogan

CoRR, 2013

Accelerated Coordinate Descent with Adaptive Coordinate Frequencies.

Tobias Glasmachers, Ürün Dogan

Proceedings of the Asian Conference on Machine Learning, 2013

2012

A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes.

Ürün Dogan, Tobias Glasmachers, Christian Igel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Early stopping for mutual information based feature selection.

Andre Beinrucker, Ürün Dogan, Gilles Blanchard

Proceedings of the 21st International Conference on Pattern Recognition, 2012

A Simple Extension of Stability Feature Selection.

Andre Beinrucker, Ürün Dogan, Gilles Blanchard

Proceedings of the Pattern Recognition, 2012

2011

Autonomous driving: A comparison of machine learning techniques by means of the prediction of lane change behavior.

Ürün Dogan, Johann Edelbrunner, Ioannis Iossifidis

Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, 2011

2008

Towards a Driver Model: Preliminary Study of Lane Change Behavior.

Ürün Dogan, Johann Edelbrunner, Ioannis Iossifidis

Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008