Jamie Smith

Statistics and Probability · with Adams · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jamie Smith trusts overall

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

  1. Naman Agarwal

Who trusts Jamie Smith overall

  1. Will Grathwohl

Papers from Jamie Smith's perspective

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

  1. A Stochastic Approximation Method
  2. A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
  3. Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix
  4. An estimator for the diagonal of a matrix
  5. Deep learning with COTS HPC systems
  6. The Eigenvalues of Mega-dimensional Matrices
  7. The kernel polynomial method
  8. Approximating Spectral Densities of Large Matrices
  9. Second Order Stochastic Optimization in Linear Time
  10. Second-Order Stochastic Optimization for Machine Learning in Linear Time

Their papers