We study the problem of efficient online multiclass linear classification with bandit feedback, where all examples belong to one of K classes and lie in the ...
Feb 6, 2019 · Abstract page for arXiv paper 1902.02244: Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case.
In this paper, we focus on the special case when the ex- amples chosen by the adversary lie in Rd and are linearly separable with a margin. We introduce two ...
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case ... Table: Bandit classification with linearly separable data. Page 11 ...
We study the problem of efficient online multi- class linear classification with bandit feedback, where all examples belong to one of K classes.
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case ... Bandit multiclass classification. For t = 1,2,...,T: Page 3. Bandit ...
We study the problem of efficient online multiclass linear classification with bandit feedback, where all examples belong to one of $K$ classes and lie in ...
We study the problem of efficient online multi-class linear classification with bandit feedback, where all examples belong to one of K classes and lie in ...
This repository contains source files of the paper titled Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case authored by ...
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