Degrees of freedom for off-the-grid sparse estimation

Uses Software

L-BFGS

Cites Work

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A mathematical introduction to compressive sensing
Exact reconstruction using Beurling minimal extrapolation
Degrees of freedom in lasso problems
Super-resolution from noisy data
The projected GSURE for automatic parameter tuning in iterative shrinkage methods
Exact support recovery for sparse spikes deconvolution
On the limited memory BFGS method for large scale optimization
On the degrees of freedom in shrinkage estimation
Regularized simultaneous model selection in multiple quantiles regression
Estimation of the mean of a multivariate normal distribution
Improving upon standard estimators in discrete exponential families with applications to Poisson and negative binomial cases
Spline solutions to L\(^1\) extremal problems in one and several variables
Estimating the dimension of a model
A natural identity for exponential families with applications in multiparameter estimation
Robust priors for smoothing and image restoration
Locally adaptive regression splines
Multivariate Hermite interpolation by algebraic polynomials: A survey
Degrees of freedom for piecewise Lipschitz estimators
On the degrees of freedom in shape-restricted regression.
The degrees of freedom of partly smooth regularizers
Adaptive piecewise polynomial estimation via trend filtering
On the ``degrees of freedom of the lasso
Spike detection from inaccurate samplings
Degrees of freedom and model search
Adapting to Unknown Smoothness via Wavelet Shrinkage
On Degrees of Freedom of Projection Estimators With Applications to Multivariate Nonparametric Regression
How Biased is the Apparent Error Rate of a Prediction Rule?
Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
Generalized SURE for Exponential Families: Applications to Regularization
Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators
Inverse problems in spaces of measures
The degrees of freedom of the Lasso for general design matrix
The sliding Frank–Wolfe algorithm and its application to super-resolution microscopy
Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE?
Sparse regularization on thin grids I: the Lasso
Breaking the Curse of Dimensionality with Convex Neural Networks
Towards a Mathematical Theory of Super‐resolution
ℓ1 Regularization in Infinite Dimensional Feature Spaces
Some Comments on C P
Model completeness results for expansions of the ordered field of real numbers by restricted Pfaffian functions and the exponential function
The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems
The Estimation of Prediction Error