Chen-Yu Wei

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #27,839 of 35,345 by trust here, #29,412 by citations
• Management Science and Operations Research — 8 citations into it
• Computer Networks and Communications — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Chen-Yu Wei trusts overall

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

1. Aurélien Garivier
2. Yonatan Gur
3. Peter Auer
4. Jean-Yves Audibert
5. Nicolò Cesa-Bianchi
6. Alekh Agarwal
7. Chih-Jen Lin
8. Amir Beck
9. John C. Duchi
10. Omar Besbes

Who trusts Chen-Yu Wei overall

1. Wendi Wu
2. Yawei Zhao
3. Mehryar Mohri
4. Zongren Li

Papers from Chen-Yu Wei's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. LIBSVM: A library for support vector machines
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Regression Shrinkage and Selection via the Lasso
8. The Nonstochastic Multiarmed Bandit Problem
9. ImageNet: A large-scale hierarchical image database
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• Federated Residual Learning (2020) — 39 citations
• Tracking the Best Expert in Non-stationary Stochastic Environments (2017) — 65 citations