Michael C. Grant
Computational Mechanics · 2010
A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 27 citations into it; #1,117 of 10,001 by trust here, #3,190 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Mathematical Optimization — 8 citations into it
- Optimization & Training — 8 citations into it
- Biomedical Engineering — 7 citations into it; #522 of 10,734 by trust here, #5,210 by citations
- Signal Processing — 6 citations into it
- Mathematical Physics — 5 citations into it; #935 of 8,562 by trust here, #1,838 by citations
- Numerical Analysis — 5 citations into it
Whom Michael C. Grant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- E.J. Candes
- Robert Tibshirani
- David L. Donoho
- R. Tyrrell Rockafellar
- Patrick L. Combettes
- Antonin Chambolle
- Alfred Auslender
- Ewout van den Berg
- D. P. Palomar
Who trusts Michael C. Grant overall
- E.J. Candes
- Alexandre Belloni
- Jasper Snoek
- Neal Parikh
- M. Soltanolkotabi
- Rahul Mazumder
- Kimon Fountoulakis
- Laurent Condat
- Victor Chernozhukov
- Brendan O'Donoghue
Papers from Michael C. Grant's perspective
Ordered by how strongly the researchers Michael C. Grant trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Sparse Reconstruction by Separable Approximation
- 双対平坦空間におけるLeast Angle Regressionと情報量規準
- The Dantzig selector: Statistical estimation when P is much larger than n
- Signal Recovery by Proximal Forward-Backward Splitting
- Exact Matrix Completion via Convex Optimization
- A Singular Value Thresholding Algorithm for Matrix Completion
- Gradient methods for minimizing composite objective function
- Smooth minimization of non-smooth functions
- Fast Solution of $\ell _{1}$ -Norm Minimization Problems When the Solution May Be Sparse (IEEE Transactions on Information Theory)
Their papers
- Templates for convex cone problems with applications to sparse signal recovery (2010) — 693 citations