Coralia Cartis
Optimization & Training · 2010–2019
A researcher in the Science corpus: 6 papers; trusts 35 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 29 citations into it
- Computational Theory and Mathematics — 22 citations into it
- Computational Mechanics — 21 citations into it; #1,333 of 10,001 by trust here, #2,070 by citations
- Numerical Analysis — 21 citations into it; #390 of 3,586 by trust here, #390 by citations
- Artificial Intelligence — 14 citations into it; #6,717 of 35,345 by trust here, #11,921 by citations
- Mathematical Optimization — 12 citations into it
- Numerical Methods & Scientific Computing — 6 citations into it
- Statistics and Probability — 5 citations into it
Whom Coralia Cartis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- John E. Dennis Jr.
- N. Gould
- Philippe L. Toint
- Peter Deuflhard
- Boris Polyak
- Trond Steihaug
- Bobby Schnabel
- Arkadi Nemirovski
- Luís Nunes Vicente
Who trusts Coralia Cartis overall
- Luís Nunes Vicente
- Ya-Xiang Yuan
- Saeed Ghadimi
- Leonard Adolphs
- N. Gould
- Simon Lacoste-Julien
- Aurélien Lucchi
- Rohollah Garmanjani
- Jonas Köhler
- Celestine Mendler-Dünner
Papers from Coralia Cartis's perspective
Ordered by how strongly the researchers Coralia Cartis trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Cubic regularization of Newton method and its global performance
Their papers
- On the Complexity of Steepest Descent, Newton's and Regularized Newton's Methods for Nonconvex Unconstrained Optimization Problems (2010) — 266 citations
- Adaptive cubic regularisation methods for unconstrained optimization. Part II: worst-case function- and derivative-evaluation complexity (2011) — 373 citations
- Adaptive cubic regularisation methods for unconstrained optimization. Part I: motivation, convergence and numerical results (2011) — 458 citations
- Convergence Rate Analysis of a Stochastic Trust-Region Method via Supermartingales (2019) — 143 citations
- Global rates of convergence for nonconvex optimization on manifolds (2016) — 359 citations
- On the Oracle Complexity of First-Order and Derivative-Free Algorithms for Smooth Nonconvex Minimization (2012) — 73 citations