Ürün Dogan

39 papers A* 1A 1B 2C 2Journal 24Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Value bounds and Convergence Analysis for Averages of LRP attributions.
CoRR
Alexander Binder, Nastaran Takmil-Homayouni, Ürün Dogan
2024 A* conf
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control.
ICRA
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau
2024 J jnl
Pearl: A Production-Ready Reinforcement Learning Agent.
J. Mach. Learn. Res.
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
2023 J jnl
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control.
CoRR
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau
2023 J jnl
Pearl: A Production-ready Reinforcement Learning Agent.
CoRR
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
2022 J jnl
Representation learning for clustering via building consensus.
Mach. Learn.
Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan
2021 B conf
Consensus Clustering With Unsupervised Representation Learning.
IJCNN
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan
2021 J jnl
Domain Generalization by Marginal Transfer Learning.
J. Mach. Learn. Res.
Gilles Blanchard, Aniket Anand Deshmukh, Ürün Dogan, Gyemin Lee, Clayton Scott
2021 J jnl
Offline RL With Resource Constrained Online Deployment.
CoRR
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Frank Cheng, Young Hun Jung, Abhishek Gupta, Ürün Dogan
2021 — conf
On Challenges in Unsupervised Domain Generalization.
Pre-Registration Workshop @ NeurIPS
Vaasudev Narayanan, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
2021 J jnl
Representation Learning for Clustering via Building Consensus.
CoRR
Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan
2020 J jnl
Consensus Clustering with Unsupervised Representation Learning.
CoRR
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan
2020 J jnl
Data Transformation Insights in Self-supervision with Clustering Tasks.
CoRR
Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu
2020 — conf
Label-Similarity Curriculum Learning.
ECCV (29)
Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel
2020 J jnl
Self-Supervised Contextual Bandits in Computer Vision.
CoRR
Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan
2020 J jnl
Zero Shot Domain Generalization.
CoRR
Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
2020 A conf
Zero-Shot Domain Generalization.
BMVC
Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
2019 J jnl
A Generalization Error Bound for Multi-class Domain Generalization.
CoRR
Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma, Ürün Dogan, James W. Cutler, Clayton Scott
2019 J jnl
Data-Dependent Generalization Bounds for Multi-Class Classification.
IEEE Trans. Inf. Theory
Yunwen Lei, Ürün Dogan, Ding-Xuan Zhou, Marius Kloft
2019 J jnl
Label-similarity Curriculum Learning.
CoRR
Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel
2017 J jnl
Generalization Error Bounds for Extreme Multi-class Classification.
CoRR
Yunwen Lei, Ürün Dogan, Ding-Xuan Zhou, Marius Kloft
2017 — conf
Multi-Task Learning for Contextual Bandits.
NIPS
Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott
2017 J jnl
Multi-Task Learning for Contextual Bandits.
CoRR
Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott
2016 J jnl
A Unified View on Multi-class Support Vector Classification.
J. Mach. Learn. Res.
Ürün Dogan, Tobias Glasmachers, Christian Igel
2016 J jnl
Distributed Optimization of Multi-Class SVMs.
CoRR
Maximilian Alber, Julian Zimmert, Ürün Dogan, Marius Kloft
2016 J jnl
Extensions of stability selection using subsamples of observations and covariates.
Stat. Comput.
Andre Beinrucker, Ürün Dogan, Gilles Blanchard
2016 C conf
Localized Multiple Kernel Learning - A Convex Approach.
ACML
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
2015 J jnl
Localized Multiple Kernel Learning - A Convex Approach.
CoRR
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
2015 — conf
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms.
NIPS
Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft
2015 J jnl
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms.
CoRR
Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft
2015 — conf
Theory and Algorithms for the Localized Setting of Learning Kernels.
FE@NIPS
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
2014 J jnl
Coordinate Descent with Online Adaptation of Coordinate Frequencies.
CoRR
Tobias Glasmachers, Ürün Dogan
2013 C conf
Accelerated Coordinate Descent with Adaptive Coordinate Frequencies.
ACML
Tobias Glasmachers, Ürün Dogan
2013 J jnl
Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies
CoRR
Tobias Glasmachers, Ürün Dogan
2012 — conf
A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes.
ECML/PKDD (1)
Ürün Dogan, Tobias Glasmachers, Christian Igel
2012 — conf
A Simple Extension of Stability Feature Selection.
DAGM/OAGM Symposium
Andre Beinrucker, Ürün Dogan, Gilles Blanchard
2012 B conf
Early stopping for mutual information based feature selection.
ICPR
Andre Beinrucker, Ürün Dogan, Gilles Blanchard
2011 — conf
Autonomous driving: A comparison of machine learning techniques by means of the prediction of lane change behavior.
ROBIO
Ürün Dogan, Johann Edelbrunner, Ioannis Iossifidis
2008 — conf
Towards a Driver Model: Preliminary Study of Lane Change Behavior.
ITSC
Ürün Dogan, Johann Edelbrunner, Ioannis Iossifidis