NIPS Proceedingsβ

Andrea Montanari

12 Papers

  • Convergence rates of sub-sampled Newton methods (2015)
  • On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors (2015)
  • A statistical model for tensor PCA (2014)
  • Cone-Constrained Principal Component Analysis (2014)
  • Sparse PCA via Covariance Thresholding (2014)
  • Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models (2013)
  • Estimating LASSO Risk and Noise Level (2013)
  • Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition (2013)
  • Learning Networks of Stochastic Differential Equations (2010)
  • The LASSO risk: asymptotic results and real world examples (2010)
  • Matrix Completion from Noisy Entries (2009)
  • Which graphical models are difficult to learn? (2009)