NIPS Proceedings
^{β}
Books
Andrea Montanari
13 Papers
Inference in Graphical Models via Semidefinite Programming Hierarchies
(2017)
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)