Christopher Harshaw

Computational Theory and Mathematics · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher Harshaw trusts overall

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

  1. Ethan R. Elenberg
  2. George L. Nemhauser
  3. Jure Leskovec
  4. Abhimanyu Das
  5. David Kempe
  6. Maxim Sviridenko
  7. Hao Yin
  8. Baharan Mirzasoleiman
  9. Jon M. Kleinberg
  10. A. Dimakis

Papers from Christopher Harshaw's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Best Algorithms for Approximating the Maximum of a Submodular Set Function
  3. Lazier Than Lazy Greedy
  4. Maximizing the spread of influence through a social network
  5. ImageNet classification with deep convolutional neural networks
  6. Learning Multiple Layers of Features from Tiny Images
  7. A note on maximizing a submodular set function subject to a knapsack constraint (Operations Research Letters)
  8. Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers