Ariel Ortiz-Bobea, Assistant Professor, College of Agriculture and Life
Sciences, Charles H. Dyson School of Applied Economics and Management.
June 17th, 2019.
Title: Is Deep Learning a Black Box Statistically? Abstract: Deep learning has benefited almost every aspect of modern big data applications. Yet its statistical properties still largely remain…
Monday, May 5
3 p.m. – Presentation – 253 Rhodes Hall
Suvrit Sra
Inexactness, geometry, and optimization: recurrent themes in modern data analysis
The current data-age is witnessing an…
Tuesday, March 25, 2014 at 4:15pm
Frank H. T. Rhodes Hall, 253
ORIE Colloquium: Rob Freund (MIT) - A First-Order View of Some Boosting Methods: Computational Guarantees and Connections to…
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 can…
Tuesday, April 8, 2014, 253 Rhodes Hall
Abstract: It is extremely important in many application domains to have transparency in predictive modeling. Domain experts do not tend to prefer "black…