Most of our code has been what is known as “straight line code”, meaning that it is executed in the order that it is written. But not all code works this way. In this video, we talk about…

Our third and final session will have two presentations “Prediction of hospital demand from the COVID-19 death curve: IHME Model” and “Molecular epidemiology of SARS-Cov-2: what…

Principal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…

Friday, May 2
2:20 p.m. – Presentation – 253 Rhodes Hall
Philippe Rigollet
The statistical price to pay for computational efficiency in sparse PCA
Computational limitations of…

Tuesday, February 4, 2014 at 4:15pm
Upson Hall, B17
ORIE Colloquium: John Duchi (UC Berkeley) - Machine Learning: a Discipline of Resource Tradeoffs
Joint colloquium with Computer Science.
How…