most citedMyopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

stat.ML2018★ 3 cited

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…