From statistics to deep learning and beyond

Slides: Speaker: Anthony Di Franco Overview: 20th century statistics established a tradition of quantitative modeling under restrictive assumptions that yielded mathematically tractable problems but were not always realistic in the contexts they were applied. Among the most important aspects of reality assumed away were recursive structure and prevalence of rare events, both crucial aspects of complex systems. Deep learning is starting to revive, in an ad-hoc way, fixed patte