95 citations · 430 across the 31 of their papers we have counts for
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stat.ML2018
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming
Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang +3
We design a new myopic strategy for a wide class of sequential design of experiment (DOE) problems, where the goal is to collect data in order to to fulfil a certain problem specif…
stat.ML2018
Cautious Deep Learning
Yotam Hechtlinger, Barnabás Póczos, Larry Wasserman
Most classifiers operate by selecting the maximum of an estimate of the conditional distribution where stands for the features of the instance to be classified and …