Joachim M. Buhmann: Courses in Spring Semester 2023

Name Prof. em. Dr. Joachim M. Buhmann
FieldComputer Science (Information Science and Engineering)
Address
Institut für Maschinelles Lernen
ETH Zürich, OAT Y 13.2
Andreasstrasse 5
8092 Zürich
SWITZERLAND
Telephone+41 44 632 31 24
E-mailjbuhmann@inf.ethz.ch
URLhttp://www.ml.inf.ethz.ch/
DepartmentComputer Science
RelationshipProfessor emeritus

NumberTitleECTSHoursLecturers
252-0526-00LStatistical Learning Theory Information 8 credits3V + 2U + 2A
252-0526-00 VStatistical Learning Theory3 hrs
Mon10:15-12:00HG E 7 »
Tue17:15-18:00CAB G 61 »
J. M. Buhmann
252-0526-00 UStatistical Learning Theory2 hrs
Mon16:15-18:00HG G 3 »
J. M. Buhmann
252-0526-00 AStatistical Learning Theory2 hrsJ. M. Buhmann
252-0945-16LDoctoral Seminar Machine Learning (FS23)
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 credits1S
252-0945-00 SDoctoral Seminar Machine Learning1 hrs
Tue12:15-13:00CAB G 56 »
N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, M. Sachan, J. Vogt, F. Yang