Crist'obal Guzm'an

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 47 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it; #12,430 of 35,345 by trust here, #18,186 by citations
• Optimization & Training — 37 citations into it; #2,531 of 2,601 by trust here, #2,484 by citations
• Computational Mechanics — 22 citations into it; #4,614 of 10,001 by trust here, #5,567 by citations
• Privacy & Security — 22 citations into it
• Numerical Analysis — 15 citations into it; #3,443 of 3,586 by trust here, #2,832 by citations
• Statistics and Probability — 14 citations into it
• Statistical Learning Theory — 12 citations into it
• Mathematical Optimization — 12 citations into it

Whom Crist'obal Guzm'an trusts overall

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

1. Yurii E. Nesterov
2. Arkadi Nemirovski
3. Martin Jaggi
4. Guanghui Lan
5. Anatoli B. Juditsky
6. Cynthia Dwork
7. Maxim Raginsky
8. Raef Bassily
9. Shai Shalev-Shwartz
10. Vitaly Feldman

Who trusts Crist'obal Guzm'an overall

1. Vitaly Feldman
2. Alexandre d'Aspremont
3. Blake E. Woodworth
4. Thomas Kerdreux
5. Prathamesh Mayekar
6. Jialei Wang
7. Martin Jaggi
8. H. Brendan McMahan

Papers from Crist'obal Guzm'an's perspective

Ordered by how strongly the researchers Crist'obal Guzm'an trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. A Stochastic Approximation Method
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses (2020) — 235 citations
• Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization (2015) — 96 citations
• On lower complexity bounds for large-scale smooth convex optimization (2013) — 87 citations
• Optimal Affine-Invariant Smooth Minimization Algorithms (2018) — 19 citations
• An Optimal Affine Invariant Smooth Minimization Algorithm (2013) — 13 citations