Binz Roy

ML Systems & Hardware · 2018–2021

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

Subfields

Whom Binz Roy trusts

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

  1. J. Gao (in Reinforcement Learning)

Papers from Binz Roy's perspective

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

  1. Human-level control through deep reinforcement learning
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  4. Power provisioning for a warehouse-sized computer (International Symposium on Computer Architecture)
  5. Off-policy Learning with Options and Recognizers
  6. Large-scale cluster management at Google with Borg
  7. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  8. Machine Learning Applications for Data Center Optimization
  9. On the Sample Complexity of the Linear Quadratic Regulator
  10. Tackling Climate Change with Machine Learning

Their papers