Sam Elder

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sam Elder trusts overall

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

  1. Sariel Har-Peled
  2. Michael W. Mahoney
  3. Tamás Sarlós
  4. David P. Woodruff
  5. Long Chen
  6. Kenneth L. Clarkson
  7. Daniel M. Kane
  8. R. Kannan
  9. Dan Feldman
  10. Amit Deshpande

Who trusts Sam Elder overall

  1. Dan Feldman
  2. David P. Woodruff
  3. Melanie Schmidt
  4. Christos Boutsidis
  5. Konstantin Makarychev

Papers from Sam Elder's perspective

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

  1. Improved Approximation Algorithms for Large Matrices via Random Projections (IEEE Annual Symposium on Foundations of Computer Science)
  2. Numerical linear algebra in the streaming model (Symposium on the Theory of Computing)
  3. Matrix approximation and projective clustering via volume sampling (ACM-SIAM Symposium on Discrete Algorithms)
  4. OSNAP: Faster Numerical Linear Algebra Algorithms via Sparser Subspace Embeddings (IEEE Annual Symposium on Foundations of Computer Science)
  5. FINDING STRUCTURE WITH RANDOMNESS : PROBABILISTIC ALGORITHMS FOR CONSTRUCTING
  6. Low-distortion subspace embeddings in input-sparsity time and applications to robust linear regression (Symposium on the Theory of Computing)
  7. Turning big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering (ACM-SIAM Symposium on Discrete Algorithms)
  8. Low-Rank Approximation and Regression in Input Sparsity Time (arXiv.org)
  9. k-means++: the advantages of careful seeding
  10. Clustering Large Graphs via the Singular Value Decomposition (Machine-mediated learning)

Their papers