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jonhue.bsky.social
PhD student at ETH Zurich jonhue.github.io
11 posts 144 followers 66 following
Getting Started
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We've released our lecture notes for the course Probabilistic AI at ETH Zurich, covering uncertainty in ML and its importance for sequential decision making. Thanks a lot to @jonhue.bsky.social for his amazing effort and to everyone who contributed! We hope this resource is useful to you!

submitted 12 days ago • 1 comment

I'm very excited to share notes on Probabilistic AI that I have been writing with @arkrause.bsky.social 🥳 arxiv.org/pdf/2502.05244 These notes aim to give a graduate-level introduction to probabilistic ML + sequential decision-making. I'm super glad to be able to share them with all of you now!

submitted 18 days ago • 3 comments

Overfitting, as it is colloquially described in data science and machine learning, doesn’t exist. www.argmin.net/p/thou-shalt...

submitted 30 days ago • 8 comments

The slides for my lectures on (Bayesian) Active Learning, Information Theory, and Uncertainty are online now 🥳 They cover quite a bit from basic information theory to some recent papers: blackhc.github.io/balitu/ and I'll try to add proper course notes over time 🤗

submitted 74 days ago • 4 comments

Tomorrow I’ll be presenting our recent work on improving LLMs via local transductive learning in the FITML workshop at NeurIPS. Join us for our ✨oral✨ at 10:30am in east exhibition hall A. Joint work with my fantastic collaborators Sascha Bongni, @idoh.bsky.social, @arkrause.bsky.social

submitted 77 days ago • 1 comment

We’re presenting our work “Transductive Active Learning: Theory and Applications” now at NeurIPS. Come join us in East at poster #4924! Joint work with my fantastic collaborators Bhavya Sukhija, Lenart Treven, Yarden As, @arkrause.bsky.social

submitted 79 days ago • 1 comment

Assume that the nodes of a social network can choose between two alternative technologies: B and X. A node using B receives a benefit with respect to X, but there is a benefit to using the same tech as the majority of your neighbors. Assume everyone uses X at time t=0. Will they switch to B?

submitted 97 days ago • 3 comments