David Xiao

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #14,745 of 35,345 by trust here, #27,551 by citations
• Privacy & Security — 15 citations into it
• Statistical Learning Theory — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it; #5,580 of 12,182 by trust here, #7,851 by citations
• Statistics and Probability — 5 citations into it

Whom David Xiao trusts overall

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

1. Cynthia Dwork
2. Amos Beimel
3. Frank McSherry
4. Kobbi Nissim
5. Leslie G. Valiant
6. Kamalika Chaudhuri
7. Nick Littlestone
8. David Haussler
9. Avrim Blum
10. Michael Kearns

Who trusts David Xiao overall

1. Mark Bun
2. Amos Beimel
3. Gavin Brown
4. Kobbi Nissim
5. Salil P. Vadhan

Papers from David Xiao's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differential Privacy
3. Practical privacy: the SuLQ framework
4. A theory of the learnable
5. Pseudorandom Bits for Polynomials
6. Differential privacy and robust statistics
7. Privately releasing conjunctions and the statistical query barrier
8. Characterizing the sample complexity of private learners
9. Revealing information while preserving privacy
10. The Algorithmic Foundations of Differential Privacy

Their papers

• Sample Complexity Bounds on Differentially Private Learning via Communication Complexity (2014) — 85 citations