29 citations · 65 across the 13 of their papers we have counts for
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stat.ML2017
Consistent Kernel Density Estimation with Non-Vanishing Bandwidth
Efrén Cruz Cortés, Clayton Scott
Consistency of the kernel density estimator requires that the kernel bandwidth tends to zero as the sample size grows. In this paper we investigate the question of whether consiste…
stat.ML2017★ 29 cited
Multi-Task Learning for Contextual Bandits
Aniket Anand Deshmukh, Urun Dogan, Clayton Scott
Contextual bandits are a form of multi-armed bandit in which the agent has access to predictive side information (known as the context) for each arm at each time step, and have bee…