Elad Verbin

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #15,254 of 35,345 by trust here, #27,551 by citations

Whom Elad Verbin trusts overall

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

1. Michael Kearns
2. Leslie G. Valiant
3. Robert E. Schapire

Who trusts Elad Verbin overall

1. Daniel Alabi
2. Úrsula Hébert-Johnson
3. Michael P. Kim

Papers from Elad Verbin's perspective

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

1. Toward Efficient Agnostic Learning
2. Efficient noise-tolerant learning from statistical queries
3. A theory of the learnable
4. The Strength of Weak Learnability
5. Noise-tolerant learning, the parity problem, and the statistical query model (Symposium on the Theory of Computing)
6. On lattices, learning with errors, random linear codes, and cryptography
7. Secure Human Identification Protocols (International Conference on the Theory and Application of Cryptology and Information Security)
8. Authenticating Pervasive Devices with Human Protocols (Annual International Cryptology Conference)
9. Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
10. Agnostically learning halfspaces (IEEE Annual Symposium on Foundations of Computer Science)

Their papers

• On agnostic boosting and parity learning (2008) — 70 citations