Hudson Ayers

Symposium on Networked Systems Design and Implementation · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hudson Ayers trusts overall

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

  1. Anthony V. Robins
  2. Richard Bellman
  3. Bradley Efron
  4. Xiaoqi Yin
  5. Ravi Netravali
  6. Stéphane Ross

Papers from Hudson Ayers's perspective

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

  1. Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs (ACM/SIGCOMM Internet Measurement Conference)
  2. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
  3. Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE (Conference on Emerging Network Experiment and Technology)
  4. A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP (Computer communication review)
  5. Developing a predictive model of quality of experience for internet video (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  6. Towards agile and smooth video adaptation in dynamic HTTP streaming (Conference on Emerging Network Experiment and Technology)
  7. Image quality assessment: from error visibility to structural similarity
  8. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
  9. ImageNet classification with deep convolutional neural networks
  10. Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

Their papers