9 citations · 12 across the 7 of their papers we have counts for
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3 papers · 1 filter
stat.CO2020★ 2 cited
Computational Causal Inference
Jeffrey C. Wong
We introduce computational causal inference as an interdisciplinary field across causal inference, algorithms design and numerical computing. The field aims to develop software spe…
stat.CO2019
Efficient Computation for Centered Linear Regression with Sparse Inputs
Jeffrey Wong
Regression with sparse inputs is a common theme for large scale models. Optimizing the underlying linear algebra for sparse inputs allows such models to be estimated faster. At the…
stat.CO2019★ 9 cited
Efficient Computation of Linear Model Treatment Effects in an Experimentation Platform
Jeffrey Wong, Randall Lewis, Matthew Wardrop
Linear models are a core component for statistical software that analyzes treatment effects. They are used in experimentation platforms where analysis is automated, as well as scie…