The 54th Annual Symposium on Foundations of Computer Science (FOCS 2013), sponsored by the IEEE Computer Society Technical Committee on Mathematical Foundations of Computing, was held in Berkeley, California on October 27–29, 2013 (Sunday through Tuesday).
ICCV is the premier international Computer Vision event comprising the main ICCV conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
There are strong interactions between learning algorithms which estimate the parameters of a model from data, and inference algorithms which use a model to make predictions about data. Understanding the intricacies of these interactions is crucial for advancing the state-of-the-art on real-world tasks in natural language processing, computer vision, computation biology, etc. Yet, many facets of these interactions remain unknown. In this workshop, we study the interactions between inference and learning using two reciprocating perspectives.