Keith Winstein

Computer Networks and Communications · 2013–2019

A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 55 citations into it; #2,613 of 9,886 by trust here, #4,128 by citations
• Electrical and Electronic Engineering — 26 citations into it; #3,521 of 16,539 by trust here, #10,154 by citations
• Artificial Intelligence — 11 citations into it
• Management Information Systems — 6 citations into it
• Information Systems — 5 citations into it

Whom Keith Winstein trusts overall

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

1. Frans Adriaan Oliehoek
2. Rayadurgam Srikant
3. Srisankar S. Kunniyur
4. Deepak Bansal
5. Dina Katabi
6. Kun Tan
7. Wu-chang Feng
8. Mohammad Alizadeh
9. Hari Balakrishnan
10. Mark James Handley

Who trusts Keith Winstein overall

1. Venkat Arun
2. Hongzi Mao
3. Frans Adriaan Oliehoek
4. Hari Balakrishnan
5. Nathan H. Jay
6. Mo Dong
7. Katharina Holzinger
8. Ravi Netravali
9. Zhiyuan Xu
10. Mohammad Alizadeh

Papers from Keith Winstein's perspective

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

1. FAST TCP: Motivation, Architecture, Algorithms, Performance (IEEE/ACM Transactions on Networking)
2. Data center TCP (DCTCP) (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
3. Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
4. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. The Complexity of Decentralized Control of Markov Decision Processes
7. MapReduce: simplified data processing on large clusters
8. ImageNet classification with deep convolutional neural networks
9. Why flow-completion time is the right metric for congestion control (CCRV)
10. Congestion control for high bandwidth-delay product networks (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)

Their papers

• TCP ex machina: computer-generated congestion control (2013) — 581 citations
• Learning in situ: a randomized experiment in video streaming (2019) — 346 citations
• Encoding, Fast and Slow: Low-Latency Video Processing Using Thousands of Tiny Threads (2017) — 374 citations
• Mahimahi: Accurate Record-and-Replay for HTTP (2015) — 466 citations
• An experimental study of the learnability of congestion control (2014) — 137 citations
• Stochastic Forecasts Achieve High Throughput and Low Delay over Cellular Networks (2013) — 418 citations