Sankeerth Rao

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Statistics and Probability — 12 citations into it
• Computational Theory and Mathematics — 9 citations into it

Whom Sankeerth Rao trusts overall

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

1. Oded Goldreich

Papers from Sankeerth Rao's perspective

Ordered by how strongly the researchers Sankeerth Rao 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. The uniform distribution is complete with respect to testing identity to a fixed distribution
4. Taming big probability distributions
5. A Survey on Distribution Testing: Your Data is Big. But is it Blue?
6. Communication lower bounds for statistical estimation problems via a distributed data processing inequality
7. Sublinear algorithms for testing monotone and unimodal distributions
8. Principal Component Analysis and Higher Correlations for Distributed Data
9. Optimal Algorithms for Testing Closeness of Discrete Distributions
10. Introduction to Nonparametric Estimation

Their papers

• Communication and Memory Efficient Testing of Discrete Distributions (2019) — 31 citations