David Eriksson

Research Scientist - Core Data Science

I do research in machine learning with a focus on scaling Bayesian optimization and Gaussian processes to complex high-dimensional problems. I was previously a Sr. Research Scientist at Uber AI Labs and before that I received my Ph.D. in Applied Mathematics from Cornell University.


Bayesian optimization, AutoML, Gaussian processes, scientific computing

Latest Publications

UAI - July 23, 2021

High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces

David Eriksson, Martin Jankowiak