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Mark van der Wilk

Identifiers

  • name variant Mark van der Wilk 0.60 · backfill

Papers (14)

  1. The Neural Tangent Kernel for Classification cs.LG · 2026 · author #5
  2. Meta-learning for sample-efficient Bayesian optimisation of fed-batch processes math.OC · 2026 · author #8
  3. Symmetry Guarantees Statistic Recovery in Variational Inference stat.ML · 2026 · author #3
  4. Use What You Know: Causal Foundation Models with Partial Graphs cs.LG · 2026 · author #8
  5. Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models stat.ML · 2019 · author #2
  6. Non-Factorised Variational Inference in Dynamical Systems stat.ML · 2018 · author #2
  7. Bayesian Layers: A Module for Neural Network Uncertainty cs.LG · 2018 · author #3
  8. Closed-form Inference and Prediction in Gaussian Process State-Space Models stat.ML · 2018 · author #2
  9. Learning Invariances using the Marginal Likelihood cs.LG · 2018 · author #1
  10. Convolutional Gaussian Processes stat.ML · 2017 · author #1
  11. GPflow: A Gaussian process library using TensorFlow stat.ML · 2016 · author #2
  12. Understanding Probabilistic Sparse Gaussian Process Approximations stat.ML · 2016 · author #2
  13. Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial stat.ML · 2014 · author #2
  14. Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models stat.ML · 2014 · author #2

Mentions

  • 2602.14972 #8 · arxiv_oai · confidence 0.70 Mark van der Wilk
  • 1402.1412 #2 · backfill · confidence 0.70 Mark van der Wilk
  • 1402.1389 #2 · backfill · confidence 0.70 Mark van der Wilk
  • 2605.17606 #5 · arxiv_oai · confidence 0.70 Mark van der Wilk

Frequent Coauthors