Scholar
Tom Viering
Google Scholar ID: kDKHudMAAAAJ
Assistant Professor, TU Delft
Citations & Impact
Citations
612
H-index
10
i10-index
10
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers such as 'Learning Learning Curves', 'The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization', and more. Participated in several research projects like LCDB 1.0: An extensive Learning Curves Database for Classification Tasks.
Research Experience
- Currently an Assistant Professor at TU Delft, focusing on educational innovation and learning curve research. Previously a Lecturer at TU Delft, involved in developing the new AI minor program and using interactive Python widgets to enhance student understanding.
Education
- Information not provided
Background
- Research interests include the amount of data needed for successful machine learning, learning curves, meta-learning methods, hyperparameter tuning, statistical learning theory and its application to problems such as active learning, domain adaptation, and semi-supervised learning. Other topics of interest include non-monotonicity of learning (such as double descent), interpretable machine learning, generative models, online learning (regret bounds), and deep learning.
Miscellany
- Professional skills include Machine Learning, Statistics, Optimization, Matlab, Web Development, Adobe Photoshop, and LaTeX.
