Niao He: Lerneinheiten im Herbstsemester 2022 |
Name | Frau Prof. Dr. Niao He |
Lehrgebiet | Informatik |
Adresse | Professur für Informatik ETH Zürich, OAT Y 21.1 Andreasstrasse 5 8092 Zürich SWITZERLAND |
niao.he@inf.ethz.ch | |
URL | https://odi.inf.ethz.ch/ |
Departement | Informatik |
Beziehung | Assistenzprofessorin (Tenure Track) |
Nummer | Titel | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|
252-0945-15L | Doctoral Seminar Machine Learning (HS22) Only for Computer Science Ph.D. students. This doctoral seminar is intended for PhD students affiliated with the Institute for Machine Learning. Other PhD students who work on machine learning projects or related topics need approval by at least one of the organizers to register for the seminar. | 2 KP | 1S | N. He, T. Hofmann, A. Krause, G. Rätsch, M. Sachan | |
252-5051-00L | Advanced Topics in Machine Learning Number of participants limited to 40. The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | 2 KP | 2S | J. M. Buhmann, R. Cotterell, N. He, F. Yang, M. El-Assady | |
263-5255-00L | Foundations of Reinforcement Learning Findet dieses Semester nicht statt. Number of participants limited to 190. The course will be offered again in FS23. | 5 KP | 2V + 2A | N. He | |
263-5255-10L | Foundations of Reinforcement Learning (Only Assignments) Findet dieses Semester nicht statt. Only for Ph.D. students! Will be offered again in FS23! | 2 KP | 4A | N. He |