NIPS Proceedingsβ

Alon Orlitsky

9 Papers

  • Data Amplification: A Unified and Competitive Approach to Property Estimation (2018)
  • On Learning Markov Chains (2018)
  • Maxing and Ranking with Few Assumptions (2017)
  • The power of absolute discounting: all-dimensional distribution estimation (2017)
  • Near-Optimal Smoothing of Structured Conditional Probability Matrices (2016)
  • Competitive Distribution Estimation: Why is Good-Turing Good (2015)
  • Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures (2014)
  • Tight Bounds on Profile Redundancy and Distinguishability (2012)
  • Semi-parametric Exponential Family PCA (2004)