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DTSTART;TZID=Europe/Berlin:20240522T093000
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CREATED:20250216T085414Z
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UID:987504426-1716370200-1716566400@cgde-home.de
SUMMARY:Deep Learning for Solving Dynamic Stochastic Model
DESCRIPTION:Time Schedule\nDeep Learning for Solving Dynamic Stochastic Models (May 22 – 24\, 2024)\nTotal hours: 18 \nWednesday\, May 22\n9:30 a.m. – 11:00 a.m. (2 x 45 min)\nIntroduction to Machine Learning and Deep Learning for Dynamic Stochastic Economic Models\nBreak: 30 min\n11:30 a.m. – 1:00 p.m. (2 x 45 min)\nA hands-on session on Deep Learning\nBreak: 90 min\n2:30 p.m. – 4:00 p.m. (2 x 45 min)\nDeep Equilibrium Nets \nThursday\, May 23\n9:30 a.m. – 11:00 a.m. (2 x 45 min)\nHands-on: Deep Equilibrium Nets (I) – solving a simple DSGE model\nBreak: 30 min\n11:30 a.m. – 1:00 p.m. (2 x 45 min)\nHands-on: Deep Equilibrium Nets (II) – solving a simple DSGE model with nonlinearities\nBreak: 90 min\n2:30 p.m. – 4:00 p.m. (2 x 45 min)\nUncertainty Quantification and Estimation for nonlinear models: Surrogate models \nFriday\, May 24\n9:00 a.m. – 10:30 a.m. (2 x 45 min)\nIntroduction to (stochastic) Integrated Assessment Models\nBreak: 30 min\n11:00 a.m. – 12:30 p.m. (2 x 45 min)\nSolving the (non-stationary) DICE model with Deep Equilibrium Nets\nBreak: 90 min\n2:00 p.m. – 3:30 p.m. (2 x 45 min)\nDeep Uncertainty Quantification for stochastic integrated assessment models
URL:https://cgde-home.de/event/deep-learning-for-solving-dynamic-stochastic-model/
LOCATION:Leipzig University; Institutsgebäude; Grimmaische Straße 12\, Grimmaische Straße 12\, Leipzig\, Saxony\, 04109\, Germany
CATEGORIES:Special Courses
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