Clément W. Royer

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #24,655 of 35,345 by trust here, #29,412 by citations
• Computational Mechanics — 20 citations into it
• Optimization & Training — 16 citations into it; #2,009 of 2,601 by trust here, #2,313 by citations
• Numerical Analysis — 11 citations into it

Whom Clément W. Royer trusts overall

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

1. Serge Gratton

Who trusts Clément W. Royer overall

1. Leonard Adolphs
2. Jonas Köhler
3. Jose H. Blanchet
4. El Houcine Bergou

Papers from Clément W. Royer's perspective

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

1. Introduction to derivative-free optimization
2. LIBSVM: A library for support vector machines
3. Worst case complexity of direct search
4. Optimization Methods for Large-Scale Machine Learning
5. Recursive Trust-Region Methods for Multiscale Nonlinear Optimization
6. Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming
7. Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation
8. Stochastic Approximation and Recursive Algorithms and Applications
9. Exact and Inexact Subsampled Newton Methods for Optimization
10. Newton Sketch: A Near Linear-Time Optimization Algorithm with Linear-Quadratic Convergence

Their papers

• Complexity and global rates of trust-region methods based on probabilistic models (2018) — 79 citations
• A Subsampling Line-Search Method with Second-Order Results (2018) — 22 citations