Mini-course on Representation Theoretical Methods in Machine LearningRisi Kondor, Gatsby UnitWednesday, October 1, 1.20-2.20 [slides] Friday, October 3, 4.30-5.30 [slides] Wednesday, October 8, 1.20-2.20 [slides] Friday, October 10, 4.30-5.30 [slides] Friday, October 17, 4.30-5.30 [slides] Friday, October 24, 4.30-5.30 [slides] Friday, October 31, 4.30-5.30 (see previous lecture) Location: 4th floor seminar room, Alexandra House This series of four lectures is a short introduction to non-commutative harmonic analysis and its applications in machine learning and statistics. No prior knowledge of group theory or representation theory is assumed. Topics covered will include:
Please let me know if you are interested in attending, if you have not already done so. Slides and references will be posted on this page. |