Steven R. Howard

Statistics and Probability · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Steven R. Howard trusts overall

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

  1. Joel A. Tropp
  2. Donald B. Rubin
  3. Kevin G. Jamieson
  4. Stéphane Boucheron
  5. W. Hoeffding
  6. Akshay Balsubramani
  7. Pascal Massart
  8. David Freedman
  9. Bernard Bercu
  10. Vladimir Koltchinskii

Who trusts Steven R. Howard overall

  1. Aaditya Ramdas
  2. Ian Waudby-Smith
  3. Aldo Pacchiano
  4. Stephan Rabanser
  5. Peter D. Grünwald
  6. Niladri S. Chatterji
  7. Aadirupa Saha
  8. David T. Arbour
  9. Wei-Lin Chiang
  10. Wouter M. Koolen

Papers from Steven R. Howard's perspective

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

  1. Probability Inequalities for Sums of Bounded Random Variables
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Regression Shrinkage and Selection via the Lasso
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. On Tail Probabilities for Martingales
  9. GENERATIVE ADVERSARIAL NETS
  10. Reinforcement Learning: An Introduction

Their papers