Mark van der Wilk
39 papers · 2014–2026 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Mark van der Wilk?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Anish Dhir, Ben Glocker, Miguel Monteiro
5 papers
· 2020–2026
· ICML, UAI, ICLR
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The relative value of interventional and observational samples in Bayesian Causal Linear Gaussian Models
UAI 2026
A Meta-Learning Approach to Bayesian Causal Discovery
ICLR 2025
Continuous Bayesian Model Selection for Multivariate Causal Discovery
ICML 2025
Bivariate Causal Discovery using Bayesian Model Selection
ICML 2024
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
NeurIPS 2020
6 papers whose co-authors appear nowhere else under this name
Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
ICML 2025
Rethinking Aleatoric and Epistemic Uncertainty
ICML 2025
Actually Sparse Variational Gaussian Processes
AISTATS 2023
Learning invariant weights in neural networks
UAI 2022
Bayesian Layers: A Module for Neural Network Uncertainty
NeurIPS 2019
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
NeurIPS 2019