Alexander Grubb

2012

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Alexander Grubb trusts overall

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

  1. Stéphane Mallat
  2. Matthew J. Streeter
  3. Abhimanyu Das
  4. David Kempe
  5. Zhifeng Zhang
  6. D. Golovin
  7. Jerome H. Friedman
  8. Robert E. Schapire
  9. Shlomo Zilberstein

Who trusts Alexander Grubb overall

  1. Ishan Misra
  2. Zhixiang Eddie Xu
  3. Gao Huang
  4. Yulin Wang
  5. Kilian Q. Weinberger
  6. Abhinav Shrivastava
  7. Danlu Chen
  8. Kangchen Lv
  9. Mary Phuong
  10. Martial Hebert

Papers from Alexander Grubb's perspective

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

  1. Matching pursuits with time-frequency dictionaries
  2. Greedy function approximation: A gradient boosting machine.
  3. Functional Gradient Techniques for Combining Hypotheses
  4. The Boosting Approach to Machine Learning An Overview
  5. An Online Algorithm for Maximizing Submodular Functions (Neural Information Processing Systems)
  6. Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
  7. Using Anytime Algorithms in Intelligent Systems
  8. Regression Shrinkage and Selection via the Lasso
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. ImageNet classification with deep convolutional neural networks

Their papers