Dave Zachariah

Statistics and Probability · 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 Dave Zachariah trusts overall

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

  1. Jochen Bröcker
  2. Alex Krizhevsky
  3. J. Brocker
  4. Miguel A. Arcones
  5. C. Ferro

Papers from Dave Zachariah's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. On Calibration of Modern Neural Networks
  3. A Kernel Two-Sample Test
  4. Reliability of Subjective Probability Forecasts of Precipitation and Temperature
  5. Increasing the Reliability of Reliability Diagrams
  6. Theory of Reproducing Kernels.
  7. Obtaining Well Calibrated Probabilities Using Bayesian Binning
  8. Reproducing kernel Hilbert spaces in probability and statistics
  9. On Learning Vector − Valued Functions
  10. Estimating reliability and resolution of probability forecasts through decomposition of the empirical score

Their papers