Mark van der Wilk
mvdw.bsky.social
Mark van der Wilk
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford.

Interested in automatic inductive bias selection using Bayesian tools.
More in our investigation of using Bayesian Model Selection for Causal Discovery: Multivariate Graphs.

As previously, the message is: Causal discovery requires assumptions, and Bayes enables soft, realistic assumptions. Good Bayesian inference then leads to good performance. 1/3
📢New #ICML2025 paper: "Continuous Bayesian Model Selection for Multivariate Causal Discovery".

We propose a Bayesian causal model that allows for scalable causal discovery without restrictive model assumptions.

Paper: arxiv.org/abs/2411.10154

Code: github.com/Anish144/Con...

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July 14, 2025 at 5:19 PM
Reposted by Mark van der Wilk
Today at NeurIPS, we’ll be presenting our Noether's Razor paper! 📜✨
📅 Today Fri, Dec 13
⏰ 11 a.m. – 2 p.m. PST
📍 East Exhibit Hall A-C, #4710 (ALL the way in the back I believe!)
w/ @mvdw.bsky.social @pimdh.bsky.social
Come say hi! 👋
🌟Noether's razor⭐️ Our NeurIPS 2024 paper connects ML symmetries to conserved quantities through a seminal result in mathematical physics: Noether's theorem. We can learn neural network symmetries from data by learning associated conservation laws. Learn more👇. 1/16🧵
December 13, 2024 at 4:38 PM
Reposted by Mark van der Wilk
I am looking for graduate students for my new lab at the University of Cambridge! Join me to understand and build models of visual perception. Apply here: t.co/NnIyI0nm8D
https://www.postgraduate.study.cam.ac.uk/courses/directory/egegpdpeg
t.co
December 1, 2024 at 10:05 PM