NIPS Proceedingsβ

Kamalika Chaudhuri

13 Papers

  • Active Learning from Imperfect Labelers (2016)
  • Active Learning from Weak and Strong Labelers (2015)
  • Convergence Rates of Active Learning for Maximum Likelihood Estimation (2015)
  • Spectral Learning of Large Structured HMMs for Comparative Epigenomics (2015)
  • Beyond Disagreement-Based Agnostic Active Learning (2014)
  • Rates of Convergence for Nearest Neighbor Classification (2014)
  • The Large Margin Mechanism for Differentially Private Maximization (2014)
  • A Stability-based Validation Procedure for Differentially Private Machine Learning (2013)
  • Near-optimal Differentially Private Principal Components (2012)
  • Spectral Methods for Learning Multivariate Latent Tree Structure (2011)
  • Rates of convergence for the cluster tree (2010)
  • A Parameter-free Hedging Algorithm (2009)
  • Privacy-preserving logistic regression (2008)