The 2018 North American School of Information Theory was held on May 20-23, 2018 at the campus of Texas A&M University in College Station, TX
The school is the 11th Annual North American School of Information Theory and follows a series of events designed to provide graduate students with opportunities to:
- Learn from senior lecturers in the field who will present long-format (2 1/2 hour) tutorials;
- Participate in a stimulating and inviting forum of scientists;
- Present their own work for feedback and potential collaboration; and
- Deepen their connections with the community.
A limited number of travel grants will be available for participating students and postdocs.
Speakers:
Alex Dimakis and Murat Kocaoglu, The University of Texas at Austin
Title: Hands-on machine learning workshop
Frank Kschischang, University of Toronto, Padovani lecture
Title: An Introduction to Lattices and their Applications in Communications
Olgica Milenkovic, University of Illinois, Urbana-Champaign
Title: DNA-based data storage and computing: Analytical and Experimental Challenges
Yury Polyanksiy, Massachusetts Institute of Technology
Title: Information-theoretic perspective on massive multiple-access
Rajesh Sundaresan, Indian Institute of Science
Title: Application of belief propagation for optimization in structured spaces
Naftali Tishby, Hebrew University
Title: Information Theory of Deep Learning
Josh Gordon, Google
Title: Crash course on TensorFlow (Wednesday, May 23, 11:45 a.m. – 1:45 p.m.)
