T. Proctor

Artificial Intelligence · 2019

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

Subfields

Whom T. Proctor trusts overall

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

  1. Peter Spirtes
  2. J. Gerring
  3. Richard E. Neapolitan
  4. Clark Glymour
  5. Sargur N. Srihari

Papers from T. Proctor's perspective

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

  1. Causation
  2. Causal Discovery and Inference: Concepts and Recent Methodological Advances (Applied Informatics)
  3. Causation, prediction, and search
  4. Learning Bayesian networks
  5. Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
  6. An Algorithm for Fast Recovery of Sparse Causal Graphs
  7. and s
  8. Quantum Computing in the NISQ era and beyond (Quantum)
  9. Towards a Learning Theory of Cause-Effect Inference
  10. Demonstration of qubit operations below a rigorous fault tolerance threshold with gate set tomography (Nature Communications)

Their papers