240197 Topics of Statistical Learning (S) (SoSe 2026)
Contents, comment
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Experimental machine learning advances ahead of theory.
Practitioners identify and exploit phenomena that are yet theoretically void. We discuss recent research at the intersection of statistics and machine learning. The aim is to stay current on both theoretical and experimental advances.A nonexhaustive list of topics includes transfer learning, RKHS theory, algebraic statistics, high-dimensional statistics, and manifold estimation.
Participants from all fields are welcome to attend and/or get involved.
Requirements for participation, required level
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Linear Algebra, Analysis, Probability theory
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Do | 14-16 | V4-116 | 13.04.-24.07.2026
not on: 5/14/26 / 6/4/26 |
|
| one-time | Mo | 13-18 | V4-116 | 27.07.2026 |
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 24-M-P1 Profile Module 1 | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-P1a Profile Module 1, Part A | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-P1b Profile Module 1, Part B | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-P2 Profile Module 2 | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-PT-ST5a Selected Topics in Probability Theory and Statistics 1 | Seminar Selected Topics in Probability Theory and Statistics | Study requirement
Graded examination |
Student information |
| 24-M-PT-ST5b Selected Topics in Probability Theory and Statistics 2 | Seminar Selected Topics in Probability Theory and Statistics | Study requirement
Graded examination |
Student information |
| 24-M-PWM Profile Module Economic Mathematics | Profilierungsseminar | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
- Moodle Courses
- Moodle Courses
- Address:
- SS2026_240197@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Monday, May 11, 2026
- Last update times:
- Monday, June 1, 2026
- Last update rooms:
- Monday, June 1, 2026
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Mathematics
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- Clashing dates for this course
- Links to this course
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=663695020
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- ID
- 663695020