Kevin C. Young

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

• Artificial Intelligence — 16 citations into it
• Causal Inference & Discovery — 5 citations into it

Whom Kevin C. Young trusts overall

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

1. Peter Spirtes

Papers from Kevin C. Young's perspective

Ordered by how strongly the researchers Kevin C. Young 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. Demonstration of qubit operations below a rigorous fault tolerance threshold with gate set tomography (Nature Communications)
10. Towards a Learning Theory of Cause-Effect Inference

Their papers

• Detecting crosstalk errors in quantum information processors (2019) — 304 citations