Shoham Sabach
Computational Theory and Mathematics · 2010–2017
A researcher in the Science corpus: 13 papers; trusts 42 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 88 citations into it; #1,673 of 12,182 by trust here, #1,983 by citations
- Numerical Analysis — 75 citations into it; #328 of 3,586 by trust here, #281 by citations
- Computational Mechanics — 47 citations into it; #1,321 of 10,001 by trust here, #2,644 by citations
- Geometry and Topology — 42 citations into it; #6,127 of 7,422 by trust here, #3,762 by citations
- Mathematical Optimization — 26 citations into it
- Optimization & Training — 25 citations into it
- Mathematical Physics — 17 citations into it; #2,375 of 8,562 by trust here, #2,904 by citations
- Applied Mathematics — 14 citations into it
Whom Shoham Sabach trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Heinz H. Bauschke
- Amir Beck
- Jonathan Michael Borwein
- R. Tyrrell Rockafellar
- Hong-Kun Xu
- Dan Butnariu
- Yurii E. Nesterov
- Patrick L. Combettes
- Wataru Takahashi
- J. Moreau
Who trusts Shoham Sabach overall
- Nathan Kallus
- Laurent Condat
- Ruichen Jiang
- Antonin Chambolle
- Simeon Reich
- Victoria Martín-Márquez
- Stephen J. Wright
- Yangyang Xu
- Zhi Li
- Nicholas G. Polson
Papers from Shoham Sabach's perspective
Ordered by how strongly the researchers Shoham Sabach trusts endorse each paper. Same corpus, a different order for every researcher.
- Monotone Operators and the Proximal Point Algorithm
- Proximité et dualité dans un espace hilbertien
- Regression Shrinkage and Selection via the Lasso
- The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming
- Interior-point polynomial algorithms in convex programming
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- An algorithm for quadratic programming
- Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization
- Max-Margin Markov Networks
Their papers
- Proximal alternating linearized minimization for nonconvex and nonsmooth problems (2013) — 1,985 citations
- Two Strong Convergence Theorems for a Proximal Method in Reflexive Banach Spaces (2010) — 236 citations
- Common Solutions to Variational Inequalities (2012) — 103 citations
- Right Bregman Nonexpansive Operators in Banach Spaces (2012) — 62 citations
- A First Order Method for Solving Convex Bilevel Optimization Problems (2017) — 225 citations
- Two strong convergence theorems for Bregman strongly nonexpansive operators in reflexive Banach spaces (2010) — 196 citations
- A simple algorithm for a class of nonsmooth convex-concave saddle-point problems (2015) — 108 citations
- The Cyclic Block Conditional Gradient Method for Convex Optimization Problems (2015) — 46 citations
- Weiszfeld’s Method: Old and New Results (2014) — 133 citations
- Bregman strongly nonexpansive operators in reflexive Banach spaces (2013) — 70 citations
- Iterative methods for approximating fixed points of Bregman nonexpansive operators (2012) — 73 citations
- A Characterization of Bregman Firmly Nonexpansive Operators Using a New Monotonicity Concept (2011) — 59 citations
- A projection method for solving nonlinear problems in reflexive Banach spaces (2011) — 56 citations