390040 SE PhD-AW: Advanced Stochastic Modelling (2021S)
Continuous assessment of course work
Labels
REMOTE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 11.02.2021 09:00 to Mo 22.02.2021 12:00
- Deregistration possible until We 31.03.2021 23:59
Details
max. 24 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Since face-to-face teaching is currently not possible, the seminar will begin digitally and synchronously at the above-mentioned dates. If the situation changes during the semester, a hybrid variant can be considered.
- Tuesday 02.03. 11:30 - 13:00 Digital
- Tuesday 09.03. 11:30 - 13:00 Digital
- Tuesday 16.03. 11:30 - 13:00 Digital
- Tuesday 23.03. 11:30 - 13:00 Digital
- Tuesday 13.04. 11:30 - 13:00 Digital
- Tuesday 20.04. 11:30 - 13:00 Digital
- Tuesday 27.04. 11:30 - 13:00 Digital
- Tuesday 04.05. 11:30 - 13:00 Digital
- Tuesday 11.05. 11:30 - 13:00 Digital
- Tuesday 18.05. 11:30 - 13:00 Digital
- Tuesday 01.06. 11:30 - 13:00 Digital
- Tuesday 08.06. 11:30 - 13:00 Digital
- Tuesday 15.06. 11:30 - 13:00 Digital
- Tuesday 22.06. 11:30 - 13:00 Digital
- Tuesday 29.06. 11:30 - 13:00 Digital
Information
Aims, contents and method of the course
Newest developments in the area of stochastic modeling and optimization, in particular- theoretical underpinning for the convergence of stochastic gradient type algorithms for non-convex learning tasks such as training of neural networks;- neural SDEs- Signature based models, theoretical aspects and calibration
Assessment and permitted materials
Talk
Minimum requirements and assessment criteria
Examination topics
Reading list
will be announced in the course
Association in the course directory
Last modified: Fr 12.05.2023 00:26