JSTOR Daily

The Distribution of a Linear Predictor after Model Selection: Unconditional Finite-Sample Distributions and Asymptotic Approximations

Lecture Notes-Monograph Series, Vol. 49, Optimality: The Second Erich L. Lehmann Symposium (2006), pp. 291-311 (21 pages) We analyze the (unconditional) distribution of a linear predictor that is ...
CU Boulder News & Events

CSCA 5424: Approximation Algorithms and Linear Programming

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...
JSTOR Daily

A Fully Polynomial-Time Approximation Algorithm for Computing a Stationary Point of the General Linear Complementarity Problem

This is a preview. Log in through your library . Abstract We apply a potential reduction algorithm to solve the general linear complementarity problem (GLCP) minimize ...
Bloomberg L.P.

Designing Better Approximations for Machine Learning

In the era of Machine Learning (ML), Natural Language Processing (NLP), and Artificial Intelligence (AI), high-dimensional matrices are ubiquitous. In these fields (and in many others), matrices are ...