Celina Ping Yu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Celina Ping Yu trusts

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

1. Leslie G. Valiant (in Statistical Learning Theory)
2. Nick Littlestone (in Statistical Learning Theory)
3. Cynthia Dwork (in Artificial Intelligence)

Papers from Celina Ping Yu's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. LIBSVM: A library for support vector machines
3. Differentially Private Empirical Risk Minimization
4. Curriculum learning
5. Understanding Machine Learning - From Theory to Algorithms
6. Randomized response: a survey technique for eliminating evasive answer bias.
7. A theory of the learnable
8. Differential privacy and robust statistics
9. Local Privacy and Statistical Minimax Rates
10. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm

Their papers

• Privacy-Preserving Stochastic Gradual Learning (2018) — 9 citations