Afonso Bandeira: Catalogue data in Spring Semester 2022 |
| Name | Prof. Dr. Afonso Bandeira |
| Field | Mathematics |
| Address | Institut für Operations Research ETH Zürich, HG G 23.1 Rämistrasse 101 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 79 54 |
| bandeira@math.ethz.ch | |
| Department | Mathematics |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 401-2684-00L | Mathematics of Machine Learning   | 5 credits | 2V + 1U | A. Bandeira, N. Zhivotovskii | |
| Abstract | Introductory course to Mathematical aspects of Machine Learning, including Supervised Learning, Unsupervised Learning, Sparsity, and Online Learning. | ||||
| Learning objective | Introduction to Mathematical aspects of Machine Learning. | ||||
| Content | Mathematical aspects of Supervised Learning, Unsupervised Learning, Sparsity, and Online Learning. This course is a Mathematical course, with Theorems and Proofs. | ||||
| Prerequisites / Notice | Note for non Mathematics students: this class requires a certain degree of mathematical maturity--including abstract thinking and the ability to understand and write proofs. | ||||
| 401-3940-22L | Student Seminar in Mathematics and Data: Matrix Discrepancy Number of participants limited to 12. | 4 credits | 2S | A. Bandeira, A. Maillard | |
| Abstract | This student seminar will focus on an Open Problem in Matrix Discrepancy, often referred to as Matrix Spencer. | ||||
| Learning objective | |||||
| Content | The student seminar will focus on Open Problem 4.3. here https://people.math.ethz.ch/~abandeira/TenLecturesFortyTwoProblems.pdf 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 forum.math.ethz.ch opens up, more information will be posted there (keep an eye out for it). | ||||
| Prerequisites / Notice | If you would like to participate in the student seminar, sign up and send Antoine Maillard <antoine.maillard@math.ethz.ch> (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. | ||||
| 401-5000-00L | Zurich Colloquium in Mathematics | 0 credits | R. Abgrall, M. Iacobelli, A. Bandeira, A. Iozzi, S. Mishra, R. Pandharipande, University lecturers | ||
| Abstract | The 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. | ||||
| Learning objective | |||||
| 401-5620-00L | Research Seminar on Statistics | 0 credits | 1K | P. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer, A. Bandeira, R. Furrer, L. Held, T. Hothorn, D. Kozbur, M. Wolf | |
| Abstract | Research colloquium | ||||
| Learning objective | |||||
| 401-5640-00L | ZüKoSt: Seminar on Applied Statistics | 0 credits | 1K | M. 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 | |
| Abstract | 5 to 6 talks on applied statistics. | ||||
| Learning objective | Kennenlernen von statistischen Methoden in ihrer Anwendung in verschiedenen Gebieten, besonders in Naturwissenschaft, Technik und Medizin. | ||||
| Content | In 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 notes | Bei manchen Vorträgen werden Unterlagen verteilt. Eine Zusammenfassung ist kurz vor den Vorträgen im Internet unter http://stat.ethz.ch/talks/zukost abrufbar. Ankündigunen der Vorträge werden auf Wunsch zugesandt. | ||||
| Prerequisites / Notice | Dies 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. | ||||
| 401-5660-00L | DACO Seminar | 0 credits | A. Bandeira | ||
| Abstract | Research colloquium | ||||
| Learning objective | |||||
| 401-5680-00L | Foundations of Data Science Seminar | 0 credits | P. L. Bühlmann, A. Bandeira, H. Bölcskei, S. van de Geer, F. Yang | ||
| Abstract | Research colloquium | ||||
| Learning objective | |||||
| 401-5900-00L | Optimization Seminar | 0 credits | 1K | A. Bandeira, R. Weismantel, R. Zenklusen | |
| Abstract | Lectures on current topics in optimization. | ||||
| Learning objective | This lecture series introduces graduate students to ongoing research activities (including applications) in the domain of optimization. | ||||
| Content | This 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. | ||||