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Organization: Prof. Dr. Dan Olteanu, Prof. Dr. Michael Böhlen
This seminar overviews recent research development at the intersection of databases and machine learning. In particular, it considers two distinct lines of work:
Learning outcome: The goal of the seminar is to expose the students to the recent trends in academia and industry on rethinking database management systems and on how to effectively unify knowledge on both machine learning and databases to scale data science workloads.
Target audience: MSc in Data Science students (the maximum number of students is restricted to 18)
Semester: This seminar will be offered in Fall 2023.
Teaching format: Each participant: prepares a presentation based on a research paper; answers follow-up technical questions; reads the other papers in the seminar session; and actively participates in the technical discussions in the seminar. Each participant has a buddy, who will help improve their presentation by making suggestions for improvements and attending dry runs of the presentation. The first complete draft of the presentation is due one month after the kickoff meeting. The best presentation of the seminar will be selected by the participants and receive a prize.
Registration: Please register as required by the department. In addition, please browse the papers mentioned below. In the kickoff meeting, the papers will be assigned to students, so make sure you get assigned to a paper you want.
Meetings: The first meeting will be on Tuesday, September 19, 2022 from 10:15 to 12:00 in room BIN 1.D.29. The meeting will feature a presentation by the organizers overviewing the topics to be investigated in the seminar and it will answer questions from the participants. In this session, students will be assigned to papers.
The slides used in the first meeting are here.
The student presentations will take place on Saturday November 11 and December 2, 2023 in BIN 2.A.01.
Participation at all three meetings is compulsory. The assessment depends on the quality of the presentation, active participation during the seminar, and input as a buddy.
How to read papers:
How to give talks:
The following are individual paper assignments organized by topics. Whenever an entry has two papers, this means that both papers can be presented together (as they use similar ideas), or only one of them can be presented.
Paper | Presenter | Buddy | Supervisors |
---|---|---|---|
1.1 |
Wanke Tong |
Glenn Bucagu | Johannes Marti |
1.2 | Yizhi Zhang | Christian Berger | Haozhe Zhang |
2.1 | Christian Berger | Yizhi Zhang | Michael Böhlen Xinyu Zhu |
2.2 | Noah Mamie | Solveig Helland | Johannes Marti |
2.3 | Yingying Liu | YuinKwan Chan | Johannes Marti |
2.4 | Glenn Bucagu | Haozhe Luo | Haozhe Zhang |
2.5 | Solveig Helland | Noah Mamie | Haozhe Zhang |
3.10 | Haozhe Luo | Wanke Tong | Christoph Mayer |
Group 2: Saturday, December 2, 2023 |
|||
3.1 | Alen Frey | Giuseppe Doda | Michael Böhlen |
3.2 | Carol Ernst | Prakhar Bhandari | Ahmet Kara |
3.3 | YuinKwan Chan | Yingying Liu | Ahmet Kara |
3.4 | Prakhar Bhandari | Chi Zhang | Dan Olteanu |
3.5 | Chi Zhang | Carol Ernst | Dan Olteanu |
3.6 | Renzhi Hang | Raphael Imfeld | Christoph Mayer |
3.9 | Raphael Imfeld | Renzhi Hang | Michael Böhlen Xinyu Zhu |
2.6 | Giuseppe Doda | Alen Frey | Christoph Mayer |