NIPS Proceedingsβ

Vitaly Feldman

8 Papers

  • Locally Private Learning without Interaction Requires Separation (2019)
  • Private Stochastic Convex Optimization with Optimal Rates (2019)
  • Generalization Bounds for Uniformly Stable Algorithms (2018)
  • The Everlasting Database: Statistical Validity at a Fair Price (2018)
  • Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back (2016)
  • Generalization in Adaptive Data Analysis and Holdout Reuse (2015)
  • Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's (2015)
  • Statistical Active Learning Algorithms (2013)