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In 2013, 32,719 fatalities resulted from traffic crashes, most of which were caused by driver error. Across the globe, people are facing longer commutes and five Texas communities are in the top 26 most congested cities in the United States. Traffic congestion creates about 4.8 billion hours of travel delay and affects the environment through increased carbon footprints and higher fuel consumption.

Prof. Joydeep Ghosh of UT ECE was the keynote speaker at the inaugural Workshop on Divergences and Divergence Learning (WDDl), held in Atlanta, June 2013. In his talk, entitled "Learning Bregman Divergences for Prediction with Generalized Linear Models," which reflects joint work with ECE and WNCG student Sreangsu Acharrya,  an efficient approach to learning a broad class of predictive models was introduced. What is most remarkable about this approach is that model parameters can be estimated even when the loss function is unknown.