Internal Program Activities Breadcrumb Home Programs & Events Internal Activities Upcoming Past View Events by Program - All - View Events by Program No Internal Activities yet. View Events by Program - All -Proofs, Consensus, and Decentralizing SocietyOnline and Matching-Based Market DesignSummer Cluster: Error-Correcting Codes and High-Dimensional ExpansionFoundations of Deep Learning View Events by Program Cryptocurrencies, Currency Competition, and the Impossible Trinity Cryptocurrencies, Currency Competition, and the Impossible Trinity Proofs, Consensus, and Decentralizing Society Linda Schilling First come first served online matching: theory, applications and future research First come first served online matching: theory, applications and future research Online and Matching-Based Market Design Gideon Weiss (The University of Haifa) An Economic Analysis of the Bitcoin Payment System An Economic Analysis of the Bitcoin Payment System Proofs, Consensus, and Decentralizing Society Jacob Leshno A Cryptographic Look at Token-Curated Registries A Cryptographic Look at Token-Curated Registries Proofs, Consensus, and Decentralizing Society Sarah Meiklejohn Equilibrium Existence Duality Equilibrium Existence Duality Online and Matching-Based Market Design Alex Teytelboym Stable Matching with Proportionality Constraints Stable Matching with Proportionality Constraints Online and Matching-Based Market Design Rakesh Vohra (University of Pennsylvania) Short talks + announcement of results. Short talks + announcement of results. Summer Cluster: Error-Correcting Codes and High-Dimensional Expansion A connection between optimal AG codes and LPS Ramanujan graphs. A connection between optimal AG codes and LPS Ramanujan graphs. Summer Cluster: Error-Correcting Codes and High-Dimensional Expansion Shai Evra (IAS) Expansion beyond eigenvalue and other pseudorandom constructions Expansion beyond eigenvalue and other pseudorandom constructions Summer Cluster: Error-Correcting Codes and High-Dimensional Expansion David Zuckerman Improving medical predictions by caring about uncertainty: Combining Deep Neural Networks with Bayesian methodology Improving medical predictions by caring about uncertainty: Combining Deep Neural Networks with Bayesian methodology Foundations of Deep Learning Katherine Heller Pagination First page First Previous page Previous Page 88 Page 89 Current page 90 Page 91 Page 92 Next page Next Last page Last
