The Sixth Biennial
Urie Bronfenbrenner Conference An Equal Start: Policy and Practice to Promote Equality of Opportunity for Children October 25-26,
2018 Section: Multigenerational
Influences on…

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…

The information revolution is spawning systems that require very frequent decisions and provide high volumes of data concerning past outcomes. Fueling the design of algorithms used in such systems is…

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…

Thursday, February 6, 2014 at 4:15pm
Frank H. T. Rhodes Hall, 253
ORIE Colloquium: Po-Ling Loh (Cal-Berkeley) - Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data
Noisy…

Many operational problems in data-rich environments can be characterized by three primitives: data on uncertain quantities of interest such as simultaneous demands, concurrent auxiliary data such as…

ORIE/Statistics Colloquium: Sahand Negahban (MIT) - Structured Estimation in High-Dimensions
Wednesday, February 20, 2013 at 4:15pm
Frank H. T. Rhodes Hall, 253
Modern techniques in data…

In many markets, it is common for headquarters to create a price list while local salespeople have discretion to negotiate prices for individual deals. How much (if any) pricing discretion to grant…

Susan T. Charles, University of California, Irvine October 3, 2013 The conference aimed to close the gap between two burgeoning fields of research at the intersection of aging, emotion, and…