Rafael M. Frongillo

Optimization & Training · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 8 citations into it
• Artificial Intelligence — 6 citations into it; #18,885 of 35,345 by trust here, #27,551 by citations
• Computational Mechanics — 5 citations into it; #5,075 of 10,001 by trust here, #7,173 by citations

Whom Rafael M. Frongillo trusts overall

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

1. Yurii E. Nesterov
2. Paul Tseng

Who trusts Rafael M. Frongillo overall

1. Peter Richtárik
2. Olivier Fercoq

Papers from Rafael M. Frongillo's perspective

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

1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2. Primal-dual subgradient methods for convex problems
3. A coordinate gradient descent method for nonsmooth separable minimization
4. Logistic Regression, AdaBoost and Bregman Distances (Machine-mediated learning)
5. Term-Weighting Approaches in Automatic Text Retrieval
6. Adaptive Bound Optimization for Online Convex Optimization
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet classification with deep convolutional neural networks
9. Gradient-based learning applied to document recognition
10. Economic inequality and burden-sharing in the provision of local environmental quality

Their papers

• Parallel Boosting with Momentum (2013) — 35 citations