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Inference on Random Factor Graphs

Amin Coja-Oghlan, Goethe University Probability, Geometry, and Computation in High Dimensions Seminar, Dec. 8, 2020 Random factor graphs have become a key ingredient of probabilistic constructions for tackling inference problems such as decoding, compressed sensing or group testing. I am going to present some general results about the information-theoretic aspects of such inference problems, which are closely related to understanding the replica symmetric phase of spin systems on random graphs. In addition, I am going to mention some open algorithmic problems. https://simons.berkeley.edu/events/in...