Ürün Dogan

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 24

Top Topics

Generalization Bounds

Multiple Kernel

Model Predictive Control

Support Vector Classification

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Inf. Theory

Publications

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)
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 (2023)
Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan
Representation learning for clustering via building consensus. Mach. Learn. 111 (12) (2022)
Vaasudev Narayanan, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
On Challenges in Unsupervised Domain Generalization. Pre-Registration Workshop @ NeurIPS (2021)
Gilles Blanchard, Aniket Anand Deshmukh, Ürün Dogan, Gyemin Lee, Clayton Scott
Domain Generalization by Marginal Transfer Learning. J. Mach. Learn. Res. 22 (2021)
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Frank Cheng, Young Hun Jung, Abhishek Gupta, Ürün Dogan
Offline RL With Resource Constrained Online Deployment. CoRR (2021)
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan
Consensus Clustering With Unsupervised Representation Learning. IJCNN (2021)
Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan
Representation Learning for Clustering via Building Consensus. CoRR (2021)
Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
Zero-Shot Domain Generalization. BMVC (2020)
Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
Zero Shot Domain Generalization. CoRR (2020)
Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan
Self-Supervised Contextual Bandits in Computer Vision. CoRR (2020)
Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu
Data Transformation Insights in Self-supervision with Clustering Tasks. CoRR (2020)
Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel
Label-Similarity Curriculum Learning. ECCV (29) (2020)
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan
Consensus Clustering with Unsupervised Representation Learning. CoRR (2020)
Yunwen Lei, Ürün Dogan, Ding-Xuan Zhou, Marius Kloft
Data-Dependent Generalization Bounds for Multi-Class Classification. IEEE Trans. Inf. Theory 65 (5) (2019)
Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma, Ürün Dogan, James W. Cutler, Clayton Scott
A Generalization Error Bound for Multi-class Domain Generalization. CoRR (2019)
Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel
Label-similarity Curriculum Learning. CoRR (2019)
Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott
Multi-Task Learning for Contextual Bandits. CoRR (2017)
Yunwen Lei, Ürün Dogan, Ding-Xuan Zhou, Marius Kloft
Generalization Error Bounds for Extreme Multi-class Classification. CoRR (2017)
Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott
Multi-Task Learning for Contextual Bandits. NIPS (2017)
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
Localized Multiple Kernel Learning - A Convex Approach. ACML (2016)
Ürün Dogan, Tobias Glasmachers, Christian Igel
A Unified View on Multi-class Support Vector Classification. J. Mach. Learn. Res. 17 (2016)
Maximilian Alber, Julian Zimmert, Ürün Dogan, Marius Kloft
Distributed Optimization of Multi-Class SVMs. CoRR (2016)
Andre Beinrucker, Ürün Dogan, Gilles Blanchard
Extensions of stability selection using subsamples of observations and covariates. Stat. Comput. 26 (5) (2016)
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
Localized Multiple Kernel Learning - A Convex Approach. CoRR (2015)
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
Theory and Algorithms for the Localized Setting of Learning Kernels. FE@NIPS (2015)
Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms. NIPS (2015)
Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms. CoRR (2015)
Tobias Glasmachers, Ürün Dogan
Coordinate Descent with Online Adaptation of Coordinate Frequencies. CoRR (2014)
Tobias Glasmachers, Ürün Dogan
Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies CoRR (2013)
Tobias Glasmachers, Ürün Dogan
Accelerated Coordinate Descent with Adaptive Coordinate Frequencies. ACML (2013)
Andre Beinrucker, Ürün Dogan, Gilles Blanchard
A Simple Extension of Stability Feature Selection. DAGM/OAGM Symposium (2012)
Ürün Dogan, Tobias Glasmachers, Christian Igel
A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes. ECML/PKDD (1) (2012)
Andre Beinrucker, Ürün Dogan, Gilles Blanchard
Early stopping for mutual information based feature selection. ICPR (2012)
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)
Ürün Dogan, Johann Edelbrunner, Ioannis Iossifidis
Towards a Driver Model: Preliminary Study of Lane Change Behavior. ITSC (2008)