
“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.…








We discuss optimization problems at Amazon Logistics. Amazon is the biggest online retailer, fulfilling millions of orders a day. This leads to many classical OR problems. In addition, many of these…


We give an efficient algorithm for computing a Cournot equilibrium when the producers are confined to integers, the inverse demand function is linear, and costs are quadratic. The method also…


A great success of the 20th century was the development of fast transforms such
as the fast Fourier transform, the fast multipole method, and butterfly algorithms. In
this talk we carefully employ…


Wednesday, March 26, 2014 at 3:00pm
Frank H. T. Rhodes Hall, 253
ORIE Colloquium: Stefanie Jegelka (UC Berkeley)  Efficient learning with combinatorial structure
Learning from complex data such as…


Tuesday, March 25, 2014 at 4:15pm
Frank H. T. Rhodes Hall, 253
ORIE Colloquium: Rob Freund (MIT)  A FirstOrder View of Some Boosting Methods: Computational Guarantees and Connections to…


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 can…


Tuesday, January 28, 2014 at 4:15pm
Frank H. T. Rhodes Hall, 253
ORIE Colloquium: Dragos Florin Ciocan (MIT)  Tools for Modern Revenue Management
We present potential solutions to several problems…


Tuesday, Apr 15, 2014 at 4:15 PM [.ics]
253 Rhodes Hall
Natesh Pillai
Assistant Professor, Department of Statistics
Harvard University
Category: ORIE Colloquium Seminars


Friday, March 7, 2014 at 3:30pm
Frank H. T. Rhodes Hall, 655
CAM Colloquium: Howard C. Elman (Maryland)  Reduced Basis Collocation Methods for Partial Differential Equations with Random…


The study of firstorder methods has largely dominated research in continuous optimization for the last decade, yet still the range of problems for which optimal firstorder methods have been…


Scientists use laboratory experiments to search for molecules with desirable properties, e.g., that make efficient solar cells; or that cure cancer. The success of such a search hinges on making…
