Yiwen Nie

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #29,767 of 35,345 by trust here, #19,018 by citations
• Privacy & Security — 34 citations into it
• Statistics and Probability — 13 citations into it
• Algorithms & Complexity — 7 citations into it

Whom Yiwen Nie trusts overall

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

1. Robert Tibshirani
2. Jeffrey Scott Vitter
3. Cynthia Dwork
4. John C. Duchi
5. Peter Kairouz
6. Adam D. Smith
7. Frank McSherry

Who trusts Yiwen Nie overall

1. Jayadev Acharya

Papers from Yiwen Nie's perspective

Ordered by how strongly the researchers Yiwen Nie 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. Regression Shrinkage and Selection via the Lasso
4. Randomized response: a survey technique for eliminating evasive answer bias.
5. Robust De-anonymization of Large Sparse Datasets
6. What Can We Learn Privately?
7. Local Privacy and Statistical Minimax Rates
8. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
9. Universally utility-maximizing privacy mechanisms
10. Extremal Mechanisms for Local Differential Privacy

Their papers

• Local Differential Private Data Aggregation for Discrete Distribution Estimation (2019) — 81 citations
• Mutual Information Optimally Local Private Discrete Distribution Estimation (2016) — 100 citations