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20152023
most citedA Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows

15 citations · 23 across the 6 of their papers we have counts for

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2 papers · 1 filter

math.OC2022

Decision-Making Under Uncertainty for Multi-stage Pipelines: Simulation Studies to Benchmark Screening Strategies

Kristofer G. Reyes, Jiaqian Liu, Carlos Juan Díaz Vargas

Multi-stage screening pipelines are ubiquitous throughout experimental and computational science. Much of the effort in developing screening pipelines focuses on improving generati…

math.OC2015★ 1 cited

A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model

Yan Li, Kristofer G. Reyes, Jorge Vazquez-Anderson +3

We present a sparse knowledge gradient (SpKG) algorithm for adaptively selecting the targeted regions within a large RNA molecule to identify which regions are most amenable to int…