Y. Wang
Artificial Intelligence · with Chen · 2018
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Y. Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Y. Wang's perspective
Ordered by how strongly the researchers Y. Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
- A Constrained ℓ1 Minimization Approach to Sparse Precision Matrix Estimation
- Causation, prediction, and search
- Identifiability of Gaussian structural equation models with equal error variances
- Causality
- Causal Structure Learning
- Structure Learning in Graphical Modeling
- Algebraic problems in structural equation modeling
- High-dimensional graphs and variable selection with the Lasso
- Regression Shrinkage and Selection via the Lasso
Their papers
- On causal discovery with an equal-variance assumption (2018) — 102 citations