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Explore the fundamental connections between information theory and computational theory through this comprehensive research school tutorial series from the Centre International de Rencontres Mathématiques. Delve into cutting-edge topics where these traditionally separate academic disciplines intersect, examining shared problem formulations and proof techniques that bridge both fields. Master algorithmic aspects of inference, tensor decompositions and their applications, polynomial time algorithms for lossy population recovery, and linear inverse problems through expert instruction from Ankur Moitra. Develop deep understanding of concentration of measure principles across four detailed sessions with Sudeep Kamath. Investigate communication complexity and information complexity relationships through Anup Rao's four-part tutorial series. Learn privacy and security applications using randomized methods in Guy Rothblum's comprehensive four-session sequence. Gain exposure to key mathematical tools, open research problems, and emerging questions that define this rapidly evolving interdisciplinary field, preparing for advanced study in areas where computational and information-theoretic approaches converge to solve complex modern challenges.
