BST 290: Deepak Agarwal

Biostatistics Seminar: Deepak Agarwal

DATE: Tuesday, December 3rd, 2013
TIME: 4:10pm (refreshments at 3:30pm, MSB 4110)
LOCATION: Mathematical Sciences Building 1147

SPEAKER: Deepak Agarwal, LinkedIn

TITLE: Response Prediction for Computational Advertising Applications

ABSTRACT:

In this talk I will provide an overview of various advertising models.

Response prediction of a rare action like click  is a fundamental input that is required to run these advertising systems in an automated fashion. This involves fitting large scale supervised learning algorithms to massive data consisting of hundreds of  millions of observations and hundreds of thousands of predictors. I will describe ADMM algorithms and variations thereof that are easy to scale on readily available distributed computing infrastructures like Hadoop. Methods would be illustrated on LinkedIn Data.

THIS SEMINAR IS PRESENTED JOINTLY WITH THE GRADUATE PROGRAM IN STATISTICS

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