Walid Hachem

Computer Networks and Communications · 2004–2014

A researcher in the Science corpus: 9 papers; trusts 43 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 38 citations into it; #2,359 of 9,886 by trust here, #2,300 by citations
• Statistics and Probability — 32 citations into it; #3,172 of 12,932 by trust here, #2,629 by citations
• Optimization & Training — 28 citations into it; #1,695 of 2,601 by trust here, #1,661 by citations
• Artificial Intelligence — 27 citations into it; #11,855 of 35,345 by trust here, #12,974 by citations
• Mathematical Physics — 23 citations into it; #4,094 of 8,562 by trust here, #3,335 by citations
• Computational Mechanics — 20 citations into it; #4,941 of 10,001 by trust here, #3,362 by citations
• Mathematical Optimization — 17 citations into it
• Electrical and Electronic Engineering — 14 citations into it

Whom Walid Hachem trusts overall

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

1. Greg W. Anderson
2. R. Brent Dozier
3. Roger A. Horn
4. Antonia Maria Tulino
5. John N. Tsitsiklis
6. J. Silverstein
7. Ofer Zeitouni
8. Shai Shalev-Shwartz
9. Yurii E. Nesterov
10. Peter J. Brockwell

Who trusts Walid Hachem overall

1. Debashis Paul
2. Romain Couillet
3. Sebastian Wagner
4. Greg W. Anderson
5. Alexander Aue
6. Serban Teodor Belinschi
7. Philippe Loubaton
8. Roland Speicher
9. Florent Benaych-Georges
10. Merouane Debbah

Papers from Walid Hachem's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
6. Matrix analysis
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Parallel and distributed computation
9. Learning Multiple Layers of Features from Tiny Images
10. CLT for linear spectral statistics of large-dimensional sample covariance matrices

Their papers

• Performance of a Distributed Stochastic Approximation Algorithm (2012) — 117 citations
• A CLT FOR INFORMATION-THEORETIC STATISTICS OF GRAM RANDOM MATRICES WITH A GIVEN VARIANCE PROFILE (2007) — 93 citations
• Deterministic equivalents for certain functionals of large random matrices (2005) — 314 citations
• THE EMPIRICAL EIGENVALUE DISTRIBUTION OF A GRAM MATRIX: FROM INDEPENDENCE TO STATIONARITY (2005) — 52 citations
• The empirical distribution of the eigenvalues of a Gram matrix with a given variance profile (2004) — 52 citations
• A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization (2014) — 134 citations
• Asynchronous distributed optimization using a randomized alternating direction method of multipliers (2013) — 186 citations
• Analysis of the limiting spectral measure of large random matrices of the separable covariance type (2013) — 51 citations
• ON BILINEAR FORMS BASED ON THE RESOLVENT OF LARGE RANDOM MATRICES (2010) — 52 citations