Paul Beaumont

International Conference on Artificial Intelligence and Statistics · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Paul Beaumont trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Lutz Kilian (in Economics and Econometrics)
  2. David Maxwell Chickering (in Optimization & Training)

Papers from Paul Beaumont's perspective

Ordered by how strongly the researchers Paul Beaumont trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Optimal Structure Identification With Greedy Search
  2. Learning Bayesian networks: The combination of knowledge and statistical data
  3. A Linear Non-Gaussian Acyclic Model for Causal Discovery
  4. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
  5. Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
  6. Emergence of Scaling in Random Networks
  7. Searching for the Causal Structure of a Vector Autoregression
  8. Learning high-dimensional directed acyclic graphs with latent and selection variables
  9. Identifiability of Gaussian structural equation models with equal error variances
  10. Emergence of scaling in random networks

Their papers