Eric Blais

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

• Artificial Intelligence — 13 citations into it; #23,804 of 35,345 by trust here, #26,682 by citations

Whom Eric Blais trusts overall

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

1. Bin Yu
2. Liam Paninski
3. Ronitt Rubinfeld
4. Gregory Valiant
5. Oded Goldreich
6. Paul Valiant
7. Dana Ron
8. Tuğkan Batu
9. Clément Louis Canonne
10. Yihong Wu

Who trusts Eric Blais overall

1. Clément Louis Canonne
2. Orr Fischer
3. Jayadev Acharya
4. Uri Meir
5. Thomas B. Berrett

Papers from Eric Blais's perspective

Ordered by how strongly the researchers Eric Blais 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. Assouad, Fano, and Le Cam
8. Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation
9. Interpolation of operators
10. A Coincidence-Based Test for Uniformity Given Very Sparsely Sampled Discrete Data

Their papers

• Distribution Testing Lower Bounds via Reductions from Communication Complexity (2019) — 59 citations