NIPS Proceedingsβ

Larry Wasserman

14 Papers

  • Statistical Inference for Cluster Trees (2016)
  • Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations (2015)
  • Optimal Ridge Detection using Coverage Risk (2015)
  • Cluster Trees on Manifolds (2013)
  • Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation (2013)
  • Exponential Concentration for Mutual Information Estimation with Application to Forests (2012)
  • Graph-Valued Regression (2010)
  • Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models (2010)
  • Nonparametric regression and classification with joint sparsity constraints (2008)
  • Compressed Regression (2007)
  • SpAM: Sparse Additive Models (2007)
  • Statistical Analysis of Semi-Supervised Regression (2007)
  • Active Learning For Identifying Function Threshold Boundaries (2005)
  • Rodeo: Sparse Nonparametric Regression in High Dimensions (2005)