Fabian Frei: Catalogue data in Spring Semester 2024 |
| Name | Dr. Fabian Frei |
| Address | Professur Algorithmen und Didaktik ETH Zürich, CAB F 14 Universitätstrasse 6 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 66 14 |
| fabian.frei@inf.ethz.ch | |
| Department | Computer Science |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | ||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 252-4910-00L | Algorithms with Predictions   The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | 2 credits | 2S | H.‑J. Böckenhauer, F. Frei, D. Komm | ||||||||||||||||||||||||||
| Abstract | Online algorithms have to answer a sequence of requests without knowing the whole sequence beforehand. We want to survey recent results about how predictions about future requests, given, e.g., by some machine-learning approach, can influence the performance of online algorithms. | |||||||||||||||||||||||||||||
| Learning objective | To systematically acquire an overview of the impact of side information on the performance of online algorithms, especially in the context of , e.g., machine-learned, predictions about future requests. | |||||||||||||||||||||||||||||
| Content | In the classical model of online algorithms, one assumes that the input is revealed piecewise in the form of requests over time and an algorithm has to respond with a part of the output to each request. While there are many situations in which this model is more realistic than the classical model of computation where the whole input is known in advance, not knowing anything about future requests is a quite pessimistic assumption. Recently, several approaches have been introduced to incorporate some kind of predictions about future requests into the model. These predictions can, e,g,, be based on some statistical knowledge about typical instances or can be generated by some machine-learning approaches. In this seminar, after some brief introduction to online algorithms, we want to explore the impact of different kinds of predictions on the solution quality of online algorithms. Each participant will study one aspect of this topic, following a specific scientific publication, and will give a presentation about this topic. | |||||||||||||||||||||||||||||
| Literature | The literature will consist of textbook chapters and original research papers and will be provided during the kick-off meeting. | |||||||||||||||||||||||||||||
| Prerequisites / Notice | The participants should be familiar with the content of the lectures "Algorithmen und Datenstrukturen" (252-0026-00) and "Theoretische Informatik" (252-0057-00). The presentations will be given in the form of a block course in June 2024, preferably shortly after the end of the normal lectures. The language can be mixed in German and English in the following sense: The teaching material will be in English, but it will be possible for the participants to give their presentations and hand in their written summaries in German. | |||||||||||||||||||||||||||||
| Competencies |
| |||||||||||||||||||||||||||||