Patrick N. Koch

Management Science and Operations Research · 2001–2018

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick N. Koch trusts overall

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

  1. Ruichen Jin
  2. Donald R. Jones
  3. John A. Nelder
  4. David Hilton Wolpert
  5. Timothy W. Simpson
  6. Jasper Snoek
  7. Wei Chen
  8. Stéphane Mallat
  9. Hugo Larochelle
  10. William G. Macready

Who trusts Patrick N. Koch overall

  1. Marc-André Zöller
  2. G. G. Wang
  3. Timothy W. Simpson
  4. Takuya Akiba
  5. Marco F. Huber
  6. Enrico Zio
  7. S. Shan
  8. Weichen Yu
  9. Jay D. Martin
  10. Felipe Antonio Chegury Viana

Papers from Patrick N. Koch's perspective

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

  1. Random Search for Hyper-Parameter Optimization
  2. Practical Bayesian Optimization of Machine Learning Algorithms
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. A rigorous framework for optimization of expensive functions by surrogates
  8. A wavelet tour of signal processing
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers