Francis R. Bach
International Conference on Machine Learning · with Ghaoui · 2007
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Francis R. Bach trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Francis R. Bach overall
Papers from Francis R. Bach's perspective
Ordered by how strongly the researchers Francis R. Bach trusts endorse each paper. Same corpus, a different order for every researcher.
- A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization (Mathematical programming)
- Sparse Principal Component Analysis
- Regression Shrinkage and Selection via the Lasso
- Bagging Predictors
- Model selection and estimation in regression with grouped variables
- On the distribution of the largest eigenvalue in principal components analysis
- 双対平坦空間におけるLeast Angle Regressionと情報量規準
- The Elements of Statistical Learning
- High-dimensional graphs and variable selection with the Lasso
- Ideal spatial adaptation by wavelet shrinkage
Their papers
- Full regularization path for sparse principal component analysis (2007) — 5,394 citations