1.2k citations · 5k across the 152 of their papers we have counts for
Showing 2019 · stat.MLShow all
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stat.ML2019★ 3 cited
Reducing Exploration of Dying Arms in Mortal Bandits
Stefano Tracà, Cynthia Rudin, Weiyu Yan
Mortal bandits have proven to be extremely useful for providing news article recommendations, running automated online advertising campaigns, and for other applications where the s…
stat.ML2019★ 9 cited
Towards Practical Lipschitz Bandits
Tianyu Wang, Weicheng Ye, Dawei Geng +1
Stochastic Lipschitz bandit algorithms balance exploration and exploitation, and have been used for a variety of important task domains. In this paper, we present a framework for L…
stat.ML2019★ 15 cited
Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models
Jiayun Dong, Cynthia Rudin
Variable importance is central to scientific studies, including the social sciences and causal inference, healthcare, and other domains. However, current notions of variable import…