Selected talks

Technical talks

• Recommending Learners, keynote at AutoML conference, 2023

• Low Rank Approximation for Faster Convex Optimization, 1W-MINDS, 2023

• Structured Models for Automated Machine Learning, Microsoft Research, 2021

• Scalable Semidefinite Programming, E-NLA Seminar, 2021

• Imputing Missing Data with the Gaussian Copula, Cornell, 2021

• Big Data is Low Rank, Mathematics of Data Science at Tufts, 2020

Broader talks

• Automating Machine Learning, Women in Data Science, 2021

• Filling in Missing Data with Low Rank Models, keynote at Women in Data Science, 2019

Older talks

• Big Data is Low Rank, Alan Turing Institute, 2020

• Big Data is Low Rank using LowRankModels(keynote at JuliaCon, June 2019) video

• Sketchy Decisions: Convex Low Rank Matrix Optimization with Optimal Storage (Simons Institute, October 2017) slides video

• The Type of Language for Mathematical Programming (JuliaCon, June 2017) slides github video