Tom Gur

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Gur trusts overall

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

  1. Bin Yu
  2. Liam Paninski
  3. Ronitt Rubinfeld
  4. Gregory Valiant

Who trusts Tom Gur overall

  1. Clément Louis Canonne
  2. Rotem Oshman
  3. Orr Fischer
  4. Uri Meir

Papers from Tom Gur's perspective

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

  1. On Testing Expansion in Bounded-Degree Graphs
  2. Testing that distributions are close
  3. Strong Lower Bounds for Approximating Distribution Support Size and the Distinct Elements Problem
  4. Taming big probability distributions
  5. Estimating entropy on m bins given fewer than m samples
  6. An Automatic Inequality Prover and Instance Optimal Identity Testing
  7. Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation
  8. Assouad, Fano, and Le Cam
  9. Interpolation of operators
  10. A Coincidence-Based Test for Uniformity Given Very Sparsely Sampled Discrete Data

Their papers