Raphaël Canyasse

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #24,819 of 35,345 by trust here, #31,361 by citations
• Privacy & Security — 5 citations into it

Whom Raphaël Canyasse trusts overall

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

1. Frank McSherry
2. Cynthia Dwork
3. Kobbi Nissim
4. Sariel Har-Peled
5. David Arthur
6. Edo Liberty
7. Bahman Bahmani

Who trusts Raphaël Canyasse overall

1. Uri Stemmer
2. Yatharth Dubey

Papers from Raphaël Canyasse's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differentially Private Empirical Risk Minimization
3. Smooth sensitivity and sampling in private data analysis
4. k-means++: the advantages of careful seeding
5. On coresets for k-means and k-median clustering
6. The Algorithmic Foundations of Differential Privacy
7. Privacy integrated queries
8. Scalable K-Means++ (Proceedings of the VLDB Endowment)
9. StreamKM++: A clustering algorithm for data streams
10. Differentially private subspace clustering

Their papers

• K-variates++: More Pluses in the K-means++ (2016) — 24 citations