

High-dimentional classification with deep neural networks: decision boundaries, noise, and margin
By Philipp Petersen


Wasserstein gradient flows and applications to sampling in machine learning - lecture 1
By Anna Korba
Appears in collection : From matchings to markets. A tale of Mathematics, Economics and Computer Science. / Des matchings aux marchés. Une histoire de mathématiques
Contract theory is the study of economic incentives when parties transact in the presence of private information. We augment classical contract theory to incorporate a role for learning from data, where the overall goal of the adaptive mechanism is to obtain desired statistical behavior. We consider applications of this framework to problems in federated learning, the delegation of data collection, and principal-agent regulatory mechanisms.