Alexander Luedtke

Statistics and Probability · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Luedtke trusts overall

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

  1. James M. Robins
  2. M. J. van der Laan
  3. Alexandre B. Tsybakov
  4. Jerome H. Friedman
  5. Vladimir Naumovich Vapnik
  6. Sara A. van de Geer
  7. Peter L. Bartlett
  8. Baqun Zhang
  9. Min Qian
  10. Donald B. Rubin

Who trusts Alexander Luedtke overall

  1. Susan Athey
  2. Stefan Wager
  3. Edward H. Kennedy
  4. Xinkun Nie
  5. Christian Hansen

Papers from Alexander Luedtke's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Optimal aggregation of classifiers in statistical learning
  5. Optimal Structural Nested Models for Optimal Sequential Decisions
  6. Greedy function approximation: A gradient boosting machine.
  7. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
  8. Gradient-based learning applied to document recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. The Elements of Statistical Learning

Their papers