29 citations · 65 across the 13 of their papers we have counts for
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math.ST2018
Local inversion-free estimation of spatial Gaussian processes
Hossein Keshavarz, XuanLong Nguyen, Clayton Scott
Maximizing the likelihood has been widely used for estimating the unknown covariance parameters of spatial Gaussian processes. However, evaluating and optimizing the likelihood fun…
stat.ML2018
Simple Regret Minimization for Contextual Bandits
Aniket Anand Deshmukh, Srinagesh Sharma, James W. Cutler +2
There are two variants of the classical multi-armed bandit (MAB) problem that have received considerable attention from machine learning researchers in recent years: contextual ban…
stat.ML2018
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation
Clayton Scott
In the problem of domain adaptation for binary classification, the learner is presented with labeled examples from a source domain, and must correctly classify unlabeled examples f…