6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2019
Online Learning with Diverse User Preferences
Chao Gan, Jing Yang, Ruida Zhou +1
In this paper, we investigate the impact of diverse user preference on learning under the stochastic multi-armed bandit (MAB) framework. We aim to show that when the user preferenc…
cs.LG2018★ 6 cited
Cost-aware Cascading Bandits
Ruida Zhou, Chao Gan, Jing Yan +1
In this paper, we propose a cost-aware cascading bandits model, a new variant of multi-armed ban- dits with cascading feedback, by considering the random cost of pulling arms. In e…
cs.NI2018★ 1 cited
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access
Chao Gan, Ruida Zhou, Jing Yang +1
In this paper, we investigate cost-aware joint learning and optimization for multi-channel opportunistic spectrum access in a cognitive radio system. We investigate a discrete time…