Raymond Ros
Annual Conference on Genetic and Evolutionary Computation · 2009–2010
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Whom Raymond Ros trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Raymond Ros overall
Papers from Raymond Ros's perspective
Ordered by how strongly the researchers Raymond Ros trusts endorse each paper. Same corpus, a different order for every researcher.
- Conditioning of Quasi-Newton Methods for Function Minimization
- The Convergence of a Class of Double-rank Minimization Algorithms 2. The New Algorithm
- A Rapidly Convergent Descent Method for Minimization
- Efficient MATLAB Computations with Sparse and Factored Tensors (SIAM Journal on Scientific Computing)
- Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization (Neural Information Processing Systems)
- A Singular Value Thresholding Algorithm for Matrix Completion
- Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
- A Linearly-Convergent Stochastic L-BFGS Algorithm
- Stochastic dual coordinate ascent methods for regularized loss
- Accelerated gradient methods for nonconvex nonlinear and stochastic programming
Their papers
- Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009 (2010) — 515 citations
- Benchmarking the BFGS algorithm on the BBOB-2009 function testbed (2009) — 31 citations