“Variational Perspectives on Machine Learning: Algorithms, Inference, and Fairness”Machine learning plays a key role in shaping the decisions made by a growing number of institutions.…

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…

Selective Inference is the problem of testing hypotheses that are chosen or suggested by the
data. Inference after variable selection in high-dimensional linear regression is a common
example of…

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, May 6, 2014 at 4:15 PM [.ics]
253 Rhodes Hall
Alexander (Sasha) Rakhlin
Assistant Professor, Department of Statistics
Secondary appointment: Department of Computer & Information…

ORIE Colloquium: Andrea Lodi (University of Bologna) - Mixed-Integer Programming Solvers: From Where to Where
Thursday, June 27, 2013 at 12:30pm
Frank H. T. Rhodes Hall, 253
The first fifty (five)…

ORIE Colloquium: Amitabh Basu (UC Davis) - Mixed Integer Optimization : A Solution Methodology
Friday, February 8, 2013 at 2:30pm
Frank H. T. Rhodes Hall, 253
Mixed Integer Programming has emerged…

Tuesday, April 17 at 4:15pm
Frank H.T. Rhodes Hall, 253
We analyze the efficiency of particular Markov chain methods used in Bayesian statistics, giving some of the first meaningful bounds on the…

Soumydip Ghosh
Business Analytics and Math Sciences
IBM TJ Watson Research Center
Friday, September 28, 2012
An Applied Mathematics Perspective on the Smart Grid
The energy infrastructure faces…