Lele Yu

Optimization & Training · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 13 citations into it
• Artificial Intelligence — 12 citations into it; #30,322 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #18,621 of 21,575 by trust here, #17,757 by citations

Whom Lele Yu trusts overall

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

1. L. Eon Bottou
2. Alex Smola
3. Martin A. Zinkevich

Who trusts Lele Yu overall

1. Torsten Hoefler
2. Tal Ben-Nun

Papers from Lele Yu's perspective

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

1. Large-Scale Machine Learning with Stochastic Gradient Descent
2. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
3. Parallelized Stochastic Gradient Descent
4. Distributed delayed stochastic optimization
5. Slow Learners are Fast
6. ImageNet classification with deep convolutional neural networks
7. Scalable inference in latent variable models
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. An architecture for parallel topic models
10. Distributed GraphLab: A Framework for Machine Learning in the Cloud

Their papers

• Heterogeneity-aware Distributed Parameter Servers (2017) — 219 citations