activity
20122021
most citedOn-the-fly Autonomous Control of Neutron Diffraction via Physics-Informed Bayesian Active Learning

56 citations · 67 across the 3 of their papers we have counts for

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Showing 2019Show all

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stat.ML2019

Designing over uncertain outcomes with stochastic sampling Bayesian optimization

Peter D. Tonner, Daniel V. Samarov, A. Gilad Kusne

Optimization is becoming increasingly common in scientific and engineering domains. Oftentimes, these problems involve various levels of stochasticity or uncertainty in generating…