ELLIS Machine Learning Insights Seminar – Marco Loog (TU Delft)
04 February 2025 16:00 till 17:00 - Location: Hybrid: Building 28, Room Hilbert (28.2.W510) and Zoom - By: ELLIS Delft | Add to my calendar
Information and Schedule
The ELLIS Unit Delft will host a Machine Learning Insights Seminar on 4 February featuring one presentation:
16:00: ‘On More Data and Worse Performance’ by Marco Loog (Computer Science, TU Delft)
17:00: Closing
This meeting is open for all interested researchers, and we particularly want to emphasize that we very much welcome all the PhD students and postdocs that are associated with the unit! If you have ideas about ways to make these talks more engaging for you, please let us know your suggestions.
Marco Loog | Computer Science at TU Delft
Abstract
Arguably, a desirable feature of a learner is that its performance gets better with an increasing amount of training data, at least in expectation. Surprisingly, such behavior is not guaranteed for various standard learners. This talk makes the basic setting precise and gives some illustrations of this so-called nonmonotonic (or not-so-smart) behavior. In particular, it dwells on some recent results obtained, both theoretical and empirical, for a technique ubiquitous in data science: k-means.