Citation Impact
Citing Papers
Gaussian model selection
2001
Exact Matrix Completion via Convex Optimization
2009 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Adaptive estimation with soft thresholding penalties
2002
Sparsity oracle inequalities for the Lasso
2007
The Dantzig selector: Statistical estimation when p is much larger than n
2007
A review on condition-based maintenance optimization models for stochastically deteriorating system
2016 Standout
Bayesian Compressive Sensing
2008 Standout
Least angle regression
2004 Standout
Adaptive estimation of a quadratic functional by model selection
2000
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Regression Shrinkage and Selection via The Lasso: A Retrospective
2011 Standout
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
2007 Standout
Nearly unbiased variable selection under minimax concave penalty
2010 Standout
An Introduction To Compressive Sampling
2008 Standout
Optimal detection of sparse principal components in high dimension
2013
Semi-Supervised Learning
2006 Standout
About the constants in Talagrand's concentration inequalities for empirical processes
2000
Stochastic modeling and real-time prognostics for multi-component systems with degradation rate interactions
2013
Sparsity and incoherence in compressive sampling
2007 Standout
Theory of Classification: a Survey of Some Recent Advances
2005
Works of Yannick Baraud being referenced
Model selection for regression on a fixed design
2000
Gaussian model selection with an unknown variance
2009
Model selection for regression on a random design
2002
Non-asymptotic minimax rates of testing in signal detection
2002
Gaussian Model Selection with Unknown Variance
2007