1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Selective Ensemble Based on Preference-Directed Multi-Objective Bandits
Lanjihong Ma, Zhen-Yu Zhang, Masashi Sugiyama +1
Selective ensemble for modern machine learning systems requires choosing promising model candidates under limited evaluation budgets, while downstream tasks often specify only part…
cs.LG2011★ 1 cited
Extended UCB Policies for Multi-armed Bandit Problems
Keqin Liu, Tianshuo Zheng, Zhi-Hua Zhou
The multi-armed bandit (MAB) problems are widely studied in fields of operations research, stochastic optimization, and reinforcement learning. In this paper, we consider the class…