Zuhe
Artificial Intelligence · 2013
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
Whom Zuhe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zuhe's perspective
Ordered by how strongly the researchers Zuhe trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differentially Private Empirical Risk Minimization
- Stability and Generalization
- A Statistical Framework for Differential Privacy
- Pseudorandom Bits for Polynomials
- Differential Privacy for Statistics: What we Know and What we Want to Learn
- Broadening the Scope of Differential Privacy Using Metrics
- Statistical Decision Theory and Bayesian Analysis, Second Edition
- (More) Efficient Reinforcement Learning via Posterior Sampling
- Random Differential Privacy
Their papers
- Bayesian Differential Privacy through Posterior Sampling (2013) — 7 citations