scientific article; zbMATH DE number 7479480
DOI10.2436/20.2002.01.97MaRDI QIDQ5035979
Joan Bruna, Sebastian Xambó-Descamps
Publication date: 22 February 2022
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
neural networkscausalitycurse of dimensionalityVapnik-Chervonenkis dimensionstochastic gradient descentRademacher complexityalgorithmic learningdouble descentexplicabilityhypercomplex networks
Computational learning theory (68Q32) Bayesian inference (62F15) Nonconvex programming, global optimization (90C26) Numerical optimization and variational techniques (65K10) Learning and adaptive systems in artificial intelligence (68T05) Functions of hypercomplex variables and generalized variables (30G35) Stochastic learning and adaptive control (93E35) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Approximation algorithms (68W25) General topics in artificial intelligence (68T01) Neural nets and related approaches to inference from stochastic processes (62M45)
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