James Saunderson
Statistics and Probability · 2012–2018
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it
Whom James Saunderson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexander Shapiro
- E.J. Candes
- Arthur P. Dempster
- Christoph Helmberg
- Nicholas John Higham
- Nan M. Laird
- Xiaodong Li
- B. Recht
Who trusts James Saunderson overall
Papers from James Saunderson's perspective
Ordered by how strongly the researchers James Saunderson trusts endorse each paper. Same corpus, a different order for every researcher.
- A Stochastic Approximation Method
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Semidefinite programming
- Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
- Rank-reducibility of a symmetric matrix and sampling theory of minimum trace factor analysis
- Rank-Sparsity Incoherence for Matrix Decomposition (SIAM Journal on Optimization)
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- Robust principal component analysis?
- A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
- General Intelligence, Objectively Determined and Measured.
Their papers
- Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting (2012) — 83 citations
- Estimating the Spectral Density of Large Implicit Matrices (2018) — 40 citations