Liyuan Xu and Junya Honda - Free people check

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Dueling bandits with qualitative feedback - ACM Digital Library

dl.acm.org

Liyuan Xu · Junya Honda · Masashi Sugiyama. › doi

[ ] Fully adaptive algorithm for pure exploration in linear...

arxiv.org

Authors: Liyuan Xu, Junya Honda, Masashi Sugiyama (Submitted on 16 Oct 2017) Abstract: We propose the first fully-adaptive algorithm for pure exploration in linear bandits---the task to find the arm with the largest expected reward, which depends on an unknown parameter linearly.

Uncoupled Regression from Pairwise Comparison Data

papers.nips.cc

Authors. Liyuan Xu · Junya Honda · Gang Niu · Masashi Sugiyama. Conference Event Type: Poster. Abstract. Uncoupled regression is the problem to learn a ...

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Dueling Bandits with Qualitative Feedback - Association for ...

ojs.aaai.org

by L Xu · · Cited by 4 — Liyuan Xu The University of Tokyo · Junya Honda The University of Tokyo · Masashi Sugiyama The University of Tokyo ... › index.php › AAAI › article › view

A fully adaptive algorithm for pure exploration in linear bandits

proceedings.mlr.press

· %0 Conference Paper %T A fully adaptive algorithm for pure exploration in linear bandits %A Liyuan Xu %A Junya Honda %A Masashi Sugiyama %B Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics %C Proceedings of Machine Learning Research %D %E Amos Storkey %E Fernando Perez-Cruz %F pmlr-v84-xu18d %I PMLR %J Proceedings of …