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cs.LG2020
A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem
Zhiyuan Liu, Huazheng Wang, Bo Waggoner +3
We investigate the sparse linear contextual bandit problem where the parameter is sparse. To relieve the sampling inefficiency, we utilize the "perturbed adversary" where the c…
cs.LG2019★ 1 cited
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
Zhiyuan Liu, Huazheng Wang, Fan Shen +2
We study incentivized exploration for the multi-armed bandit (MAB) problem where the players receive compensation for exploring arms other than the greedy choice and may provide bi…