Mallikarjun Shankar

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #21,684 of 35,345 by trust here, #32,362 by citations

Whom Mallikarjun Shankar trusts overall

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

1. Imre Csiszár
2. Jerome H. Friedman

Who trusts Mallikarjun Shankar overall

1. Edward Choi

Papers from Mallikarjun Shankar's perspective

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

1. On the resemblance and containment of documents
2. Regularization Paths for Generalized Linear Models via Coordinate Descent
3. Differential Privacy
4. k-Anonymity: A Model for Protecting Privacy
5. L-diversity: privacy beyond k-anonymity
6. Similarity Search in High Dimensions via Hashing
7. Anonymizing Social Networks
8. Approximate Nearest Neighbor: Towards Removing the Curse of Dimensionality
9. Privacy-preserving data publishing
10. Information Theory and Statistics: A Tutorial

Their papers

• Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data (2013) — 33 citations