Chenkai Yu

Computer Networks and Communications · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 27 citations into it
• Management Science and Operations Research — 22 citations into it
• Artificial Intelligence — 20 citations into it
• Optimization & Training — 9 citations into it

Whom Chenkai Yu trusts overall

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

1. Lijun Zhang
2. Shai Shalev-Shwartz
3. Elad Hazan

Papers from Chenkai Yu's perspective

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

1. Online Learning and Online Convex Optimization
2. Tracking the Best Expert
3. Distributed Subgradient Methods for Multi-Agent Optimization
4. Introduction to Online Convex Optimization
5. Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient
6. Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
7. Introduction to Online Optimization
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Mirror Descent Meets Fixed Share (and feels no regret)
10. A Closer Look at Adaptive Regret

Their papers

• Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend (2019) — 19 citations