Ting Wang

Artificial Intelligence · with Li · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Optimization & Training — 16 citations into it
• Privacy & Security — 16 citations into it
• Computer Networks and Communications — 12 citations into it
• Management Science and Operations Research — 9 citations into it
• Mathematical Optimization — 5 citations into it

Whom Ting Wang trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Kamalika Chaudhuri
4. Angelia Nedić
5. Martin A. Zinkevich
6. Lin Xiao
7. Elad Hazan
8. Robert Tibshirani

Papers from Ting Wang's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Regression Shrinkage and Selection via the Lasso
3. Differentially Private Empirical Risk Minimization
4. Differential Privacy
5. Logarithmic regret algorithms for online convex optimization
6. Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
7. Boosting and Differential Privacy
8. Private Convex Optimization for Empirical Risk Minimization with Applications to High-dimensional Regression
9. On the generalization ability of on-line learning algorithms
10. Differential privacy and robust statistics

Their papers

• Differentially Private Distributed Online Learning (2018) — 20 citations
• Differentially Private Distributed Online Learning (2015) — 83 citations