Jason G. Mezey

Genetics · 2010–2011

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jason G. Mezey trusts overall

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

  1. Michael I. Jordan
  2. Radford M. Neal
  3. Michael Olivier
  4. Tong Tong Wu
  5. Matthew J. Beal
  6. Tommi S. Jaakkola
  7. Yu Zhang
  8. Jerome H. Friedman
  9. Robert Tibshirani

Who trusts Jason G. Mezey overall

  1. Peter Carbonetto
  2. Matthew Stephens

Papers from Jason G. Mezey's perspective

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

  1. Pattern Recognition and Machine Learning
  2. PATHWISE COORDINATE OPTIMIZATION
  3. Coordinate descent algorithms for lasso penalized regression
  4. Variational algorithms for approximate Bayesian inference
  5. Variational inference for Dirichlet process mixtures
  6. Bayesian parameter estimation via variational methods
  7. ImageNet classification with deep convolutional neural networks
  8. Genome-wide association analysis by lasso penalized logistic regression (Bioinform.)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers