Afonso Bandeira: Catalogue data in Spring Semester 2022

Name Prof. Dr. Afonso Bandeira
Professur für Mathematik
ETH Zürich, HG G 23.1
Rämistrasse 101
8092 Zürich
Telephone+41 44 632 79 54
RelationshipFull Professor

401-2684-00LMathematics of Machine Learning Information Restricted registration - show details 5 credits2V + 1UA. Bandeira, N. Zhivotovskii
AbstractIntroductory course to Mathematical aspects of Machine Learning, including Supervised Learning, Unsupervised Learning, Sparsity, and Online Learning.
ObjectiveIntroduction to Mathematical aspects of Machine Learning.
ContentMathematical aspects of Supervised Learning, Unsupervised Learning, Sparsity, and Online Learning. This course is a Mathematical course, with Theorems and Proofs.
Prerequisites / NoticeNote for non Mathematics students: this class requires a certain degree of mathematical maturity--including abstract thinking and the ability to understand and write proofs.
401-3940-22LStudent Seminar in Mathematics and Data: Matrix Discrepancy Restricted registration - show details
Number of participants limited to 12.
4 credits2SA. Bandeira, A. Maillard
AbstractThis student seminar will focus on an Open Problem in Matrix Discrepancy, often referred to as Matrix Spencer.
ContentThe student seminar will focus on Open Problem 4.3. here
Each week a student will either present a related paper or thoughts on a particular case for the problem. When the Spring 2022 section of opens up, more information will be posted there (keep an eye out for it).
Prerequisites / NoticeIf you would like to participate in the student seminar, sign up and send Antoine Maillard <> (i) your transcript (a strong background in probability and linear algebra is needed) (ii) An argument with an upper bound where the constant C can depend on n, any dependency is fine. You can also send other thoughts on the problem.
401-5000-00LZurich Colloquium in Mathematics Information 0 creditsR. Abgrall, M. Iacobelli, A. Bandeira, A. Iozzi, S. Mishra, R. Pandharipande, University lecturers
AbstractThe lectures try to give an overview of "what is going on" in important areas of contemporary mathematics, to a wider non-specialised audience of mathematicians.
401-5620-00LResearch Seminar on Statistics Information 0 credits1KP. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer, A. Bandeira, R. Furrer, L. Held, T. Hothorn, D. Kozbur, M. Wolf
AbstractResearch colloquium
401-5640-00LZüKoSt: Seminar on Applied Statistics Information 0 credits1KM. Kalisch, F. Balabdaoui, A. Bandeira, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, N. Meinshausen, M. Robinson, C. Strobl, S. van de Geer
Abstract5 to 6 talks on applied statistics.
ObjectiveKennenlernen von statistischen Methoden in ihrer Anwendung in verschiedenen Gebieten, besonders in Naturwissenschaft, Technik und Medizin.
ContentIn 5-6 Einzelvorträgen pro Semester werden Methoden der Statistik einzeln oder überblicksartig vorgestellt, oder es werden Probleme und Problemtypen aus einzelnen Anwendungsgebieten besprochen.
3 bis 4 der Vorträge stehen in der Regel unter einem Semesterthema.
Lecture notesBei manchen Vorträgen werden Unterlagen verteilt.
Eine Zusammenfassung ist kurz vor den Vorträgen im Internet unter abrufbar.
Ankündigunen der Vorträge werden auf Wunsch zugesandt.
Prerequisites / NoticeDies ist keine Vorlesung. Es wird keine Prüfung durchgeführt, und es werden keine Kreditpunkte vergeben.
Nach besonderem Programm. Koordinator M. Kalisch, Tel. 044 632 3435
Lehrsprache ist Englisch oder Deutsch je nach ReferentIn.
Course language is English or German and may depend on the speaker.
401-5660-00LDACO Seminar Information 0 creditsA. Bandeira
AbstractResearch colloquium
401-5680-00LFoundations of Data Science Seminar Information 0 creditsP. L. Bühlmann, A. Bandeira, H. Bölcskei, S. van de Geer, F. Yang
AbstractResearch colloquium
401-5900-00LOptimization Seminar Information 0 credits1KA. Bandeira, R. Weismantel, R. Zenklusen
AbstractLectures on current topics in optimization.
ObjectiveThis lecture series introduces graduate students to ongoing research activities (including applications) in the domain of optimization.
ContentThis seminar is a forum for researchers interested in optimization theory and its applications. Speakers, invited from both academic and non-academic institutions, are expected to stimulate discussions on theoretical and applied aspects of optimization and related subjects. The focus is on efficient (or practical) algorithms for continuous and discrete optimization problems, complexity analysis of algorithms and associated decision problems, approximation algorithms, mathematical modeling and solution procedures for real-world optimization problems in science, engineering, industries, public sectors etc.