Anne-Sophie Charest

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anne-Sophie Charest trusts overall

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

  1. Cynthia Dwork
  2. Adam D. Smith
  3. Kamalika Chaudhuri
  4. Jing Lei
  5. Robert Tibshirani
  6. Hirotugu Akaike
  7. Frank McSherry
  8. Stephen E. Fienberg
  9. Caroline Uhler
  10. Jianqing Fan

Papers from Anne-Sophie Charest's perspective

Ordered by how strongly the researchers Anne-Sophie Charest 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. Differential Privacy
  4. Differentially Private Empirical Risk Minimization
  5. Privacy, accuracy, and consistency too: a holistic solution to contingency table release
  6. Pseudorandom Bits for Polynomials
  7. Differential privacy and robust statistics
  8. Differentially Private Release and Learning of Threshold Functions
  9. Local Privacy and Statistical Minimax Rates
  10. Bounds on the sample complexity for private learning and private data release

Their papers