What if learning and unlearning happen simultaneously, with unlearning requests between updates?
Check out our work on online learning and unlearning-algorithms with certified unlearning, low computational overhead and almost no additional regret.
arxiv.org/abs/2505.08557
15.05.2025 06:32 — 👍 2 🔁 0 💬 0 📌 0
Mamma - 👩🏻🔬 Prof @UQAM (EnzymeEng/Biocat/Synbio) - Writer/Editor - Artist at times - Animal❤️- Vegetarian -3xcit🇮🇹🇨🇦🇫🇷 - views 100% my own!
PhD student @Yale • Applied Scientist @AWS AI • Automated Reasoning • Neuro-Symbolic AI • Alignment • Security & Privacy • Views my own • https://ferhat.ai
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Group Leader in Tübingen, Germany
I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI.
www.timvanerven.nl
Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
full-time ML theory nerd, part-time AI-non enthusiast
Researcher in machine learning
Associate Professor in Machine Learning, Aalto University. ELLIS Scholar.
http://arno.solin.fi
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Computer science, math, machine learning, (differential) privacy
Researcher at Google DeepMind
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
