30 citations · 60 across the 4 of their papers we have counts for
4 papers
Data-dependent Generalization Bounds for Multi-class Classification
Yunwen Lei, Urun Dogan, Ding-Xuan Zhou +1
In this paper, we study data-dependent generalization error bounds exhibiting a mild dependency on the number of classes, making them suitable for multi-class learning with a large…
Multi-Task Learning for Contextual Bandits
Aniket Anand Deshmukh, Urun Dogan, Clayton Scott
Contextual bandits are a form of multi-armed bandit in which the agent has access to predictive side information (known as the context) for each arm at each time step, and have bee…
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
Yunwen Lei, Ürün Dogan, Alexander Binder +1
This paper studies the generalization performance of multi-class classification algorithms, for which we obtain, for the first time, a data-dependent generalization error bound wit…
Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies
Tobias Glasmachers, Ürün Dogan
Support vector machine (SVM) training is an active research area since the dawn of the method. In recent years there has been increasing interest in specialized solvers for the imp…