The Joint Colloquium Series, hosted by the Data Science Institute and the Department of Statistics, presents Recent Advances in Post-Selection Statistical Inference" with Professor Robert Tibshirani of Stanford University. In this era of big data and complex statistical modeling, scientists use sophisticated computational tools to search through a large number of models, looking for meaningful […]

This talk will describe a variety of methods that have been developed for the purposes of understanding group level social behaviors using stand-off video surveillance methods. Three main topics are […]

Peter Marx, Vice President, Advanced Projects, GE Digital Adjunct Professor, USC TITLE: How the New Availability of Urban and Industrial Data are Impacting Our World from Public Safety to Jet Engines This talk discusses how newly available data from cities and industry, from sensing and activities, and from transactions and services are driving change across […]

Reinforcement learning offers a powerful paradigm for automatically discovering and optimizing sequential treatments for chronic and life-threatening diseases. In particular, we will focus on how data collected in multi-stage sequential trials can be used to automatically generate treatment strategies that are tailored to patient characteristics and time-dependent outcomes. We will also examine promising methods to […]