Towards a Driver Model: Preliminary Study of Lane Change Behavior. - Ürün Dogan; Johann Edelbrunner; Ioannis Iossifidis (ITSC, 2008)

Autonomous driving: A comparison of machine learning techniques by means of the prediction of lane change behavior. - Ürün Dogan; Johann Edelbrunner; Ioannis Iossifidis (ROBIO, 2011)

A Simple Extension of Stability Feature Selection. - Andre Beinrucker; Ürün Dogan; Gilles Blanchard (DAGM/OAGM Symposium, 2012)

Early stopping for mutual information based feature selection. - Andre Beinrucker; Ürün Dogan; Gilles Blanchard (ICPR, 2012)

A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes. - Ürün Dogan; Tobias Glasmachers; Christian Igel (ECML/PKDD (1), 2012)

Accelerated Coordinate Descent with Adaptive Coordinate Frequencies. - Tobias Glasmachers; Ürün Dogan (ACML, 2013)

Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies - Tobias Glasmachers; Ürün Dogan (CoRR, 2013)

Coordinate Descent with Online Adaptation of Coordinate Frequencies. - Tobias Glasmachers; Ürün Dogan (CoRR, 2014)

Theory and Algorithms for the Localized Setting of Learning Kernels. - Yunwen Lei; Alexander Binder; Ürün Dogan; Marius Kloft (FE@NIPS, 2015)

Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms. - Yunwen Lei; Ürün Dogan; Alexander Binder; Marius Kloft (NIPS, 2015)

Localized Multiple Kernel Learning - A Convex Approach. - Yunwen Lei; Alexander Binder; Ürün Dogan; Marius Kloft (ACML, 2016)

Distributed Optimization of Multi-Class SVMs. - Maximilian Alber; Julian Zimmert; Ürün Dogan; Marius Kloft (CoRR, 2016)

A Unified View on Multi-class Support Vector Classification. - Ürün Dogan; Tobias Glasmachers; Christian Igel (J. Mach. Learn. Res., 2016)

Extensions of stability selection using subsamples of observations and covariates. - Andre Beinrucker; Ürün Dogan; Gilles Blanchard (Stat. Comput., 2016)

Multi-Task Learning for Contextual Bandits. - Aniket Anand Deshmukh; Ürün Dogan; Clayton Scott (NIPS, 2017)

Generalization Error Bounds for Extreme Multi-class Classification. - Yunwen Lei; Ürün Dogan; Ding-Xuan Zhou; Marius Kloft (CoRR, 2017)

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)

Data-Dependent Generalization Bounds for Multi-Class Classification. - Yunwen Lei; Ürün Dogan; Ding-Xuan Zhou; Marius Kloft (IEEE Trans. Inf. Theory, 2019)

Zero-Shot Domain Generalization. - Udit Maniyar; K. J. Joseph; Aniket Anand Deshmukh; Ürün Dogan; Vineeth N. Balasubramanian (BMVC, 2020)

Label-Similarity Curriculum Learning. - Ürün Dogan; Aniket Anand Deshmukh; Marcin Machura; Christian Igel (ECCV (29), 2020)

Data Transformation Insights in Self-supervision with Clustering Tasks. - Abhimanu Kumar; Aniket Anand Deshmukh; Ürün Dogan; Denis Charles; Eren Manavoglu (CoRR, 2020)

Self-Supervised Contextual Bandits in Computer Vision. - Aniket Anand Deshmukh; Abhimanu Kumar; Levi Boyles; Denis Charles; Eren Manavoglu; Ürün Dogan (CoRR, 2020)

Consensus Clustering With Unsupervised Representation Learning. - Jayanth Reddy Regatti; Aniket Anand Deshmukh; Eren Manavoglu; Ürün Dogan (IJCNN, 2021)

On Challenges in Unsupervised Domain Generalization. - Vaasudev Narayanan; Aniket Anand Deshmukh; Ürün Dogan; Vineeth N. Balasubramanian (Pre-Registration Workshop @ NeurIPS, 2021)

Offline RL With Resource Constrained Online Deployment. - Jayanth Reddy Regatti; Aniket Anand Deshmukh; Frank Cheng; Young Hun Jung; Abhishek Gupta 002; Ürün Dogan (CoRR, 2021)

Domain Generalization by Marginal Transfer Learning. - Gilles Blanchard; Aniket Anand Deshmukh; Ürün Dogan; Gyemin Lee; Clayton Scott (J. Mach. Learn. Res., 2021)

Representation learning for clustering via building consensus. - Aniket Anand Deshmukh; Jayanth Reddy Regatti; Eren Manavoglu; Ürün Dogan (Mach. Learn., 2022)

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; et al. (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 (ICRA, 2024)