Kevin Han Huang
Postdoc @ProbAIHub, hosted @warwickstats @Princeton @orfe. PhD @GatsbyUCL. Works on universality and ML theory. He/him. 🌈
kevinhanhuang.page
- Very excited to announce the ProbAI Theory of Scaling Laws Workshop (warwick.ac.uk/fac/sci/stat...) at @warwickstats.bsky.social, 22-24 June! (1/4)
- Themed around the theoretical understanding of scaling laws for large neural networks, the workshop covers both introductory tutorials and talks on latest research advances. Confirmed speakers include Blake Bordelon, Leena C Vankadara, Lénaïc Chizat, Mufan Li and Sam Smith. (2/4)
- Suitable for PhD students and researchers with graduate-level background in probability, statistics, ML theory or other related mathematical disciplines. No prior knowledge on scaling law required. (3/4)
-
View full threadAcknowledgement: This workshop is generously supported by Centre for Research in Statistical Methodology (CRiSM) at @warwickstats.bsky.social and Prob_AI Hub.
- Reposted by Kevin Han Huang[Not loaded yet]
- A better photo, in retrospect! 😄
- 🎊 Congratulations to Kevin Huang (@kevhhuang.bsky.social) on passing his PhD viva with minor corrections! 🥳 🔖 Universality beyond the classical asymptotic regime
- Didn’t even realise Singapore bus stops have small plantations on top… all the little things one missed paying attention to as a kid :’)
- Last but not least of my travel updates: Courtesy of the very kind @slchau.bsky.social, I'm giving a talk at 14:30, 27 Jun @NTU CCDS in SG on data augmentation & Gaussian universality, which strings together several works over my PhD. If you're in SG/Lyon over the next few weeks, let me know! :)
- Meanwhile, excited to be in #Lyon for #COLT2025, with a co-first author paper (arxiv.org/abs/2502.15752) with the amazing team -- Matthew M Mallory and our advisor Morgane Austern! Keywords: Gaussian universality, dependent data, convex Gaussian min-max theorem, data augmentation!
- Sadly missing ICML due to visa :'(, but looking forward to share our ICML paper (arxiv.org/abs/2502.05318) as a poster at #BayesComp, Singapore! Work on symmetrising neural nets for schrodinger equation in crystals, with the amazing Zhan Ni, Elif Ertekin, Peter Orbanz and Ryan P. Adams
