Alexandru Țifrea
I am a PhD candidate at the Department of Computer Science of ETH Zürich. I am conducting my research under the supervision of Fanny Yang in the Statistical Machine Learning group.
Prior to starting my PhD, I have completed an MSc in Computer Science at ETH Zürich and a BSc in Computer Engineering at Politehnica University Bucharest. For my Master’s degree, I was the recipient of a scholarship awarded by ETH Zürich.
My current interests revolve around various theoretical and methodological aspects of trustworthy ML (distribution shifts, fairness, uncertainty estimation) and representation learning.
If you want to reach me you can write me at:
<last name><first letter of the Latin alphabet> at inf dot ethz dot ch
news
| May 7, 2024 | Our paper introducing FRAPPÉ, a general framework for training a post-processing group fairness mitigation has been accepted at ICML2024. |
| Sep 26, 2023 | Our paper showing a novel adaptive (and tight!) lower bound for semi-supervised learning was accepted as a spotlight at NeurIPS2023. |
| Apr 25, 2023 | Our paper studying margin-based active learning in high dimensions will be presented as a poster at ICML2023. |
| Mar 8, 2023 | This summer I will be interning at Google Research Paris, with Flavien Prost, Ben Packer and Alex Beutel. |
| Dec 13, 2022 | I will be helping to organize a workshop on “Pitfalls of limited data and computation for Trustworthy ML” at ICLR2023. |