Samuel Vaiter

Computational Mechanics · 2014

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 10 citations into it; #9,323 of 10,001 by trust here, #8,566 by citations
• Statistics and Probability — 10 citations into it
• Optimization & Training — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Samuel Vaiter trusts overall

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

1. Patrick L. Combettes
2. Bradley Efron
3. David L. Donoho
4. Jean-Christophe Pesquet
5. Nikos Komodakis
6. A. S. Lewis
7. Martin Raphan
8. Hugo Raguet
9. Robert Tibshirani

Who trusts Samuel Vaiter overall

1. Peter Ochs
2. Fabian Pedregosa

Papers from Samuel Vaiter's perspective

Ordered by how strongly the researchers Samuel Vaiter trusts endorse each paper. Same corpus, a different order for every researcher.

1. Signal Recovery by Proximal Forward-Backward Splitting
2. Estimation of the Mean of a Multivariate Normal Distribution
3. Model selection and estimation in regression with grouped variables
4. Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems (IEEE Signal Processing Magazine)
5. Convex analysis and minimization algorithms
6. A Douglas–Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery (IEEE Journal on Selected Topics in Signal Processing)
7. Adapting to Unknown Smoothness via Wavelet Shrinkage
8. How Biased is the Apparent Error Rate of a Prediction Rule
9. A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
10. A data-driven block thresholding approach to wavelet estimation

Their papers

• Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection (2014) — 125 citations