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0801.1095
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Simultaneous analysis of Lasso and Dantzig selector
7 January 2008
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
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Papers citing
"Simultaneous analysis of Lasso and Dantzig selector"
50 / 530 papers shown
Title
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False Discoveries Occur Early on the Lasso Path
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Consistent Parameter Estimation for LASSO and Approximate Message Passing
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I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error
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A Geometric View on Constrained M-Estimators
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A General Framework for Bayes Structured Linear Models
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Mind the duality gap: safer rules for the Lasso
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Graph Connectivity in Noisy Sparse Subspace Clustering
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Yu-Xiang Wang
Aarti Singh
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Variance Breakdown of Huber (M)-estimators:
n
/
p
→
m
∈
(
1
,
∞
)
n/p \rightarrow m \in (1,\infty)
n
/
p
→
m
∈
(
1
,
∞
)
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Andrea Montanari
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Prediction error of cross-validated Lasso
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Jafar Jafarov
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Model Selection Consistency of Lasso for Empirical Data
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Implementable confidence sets in high dimensional regression
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Sparse and low-rank multivariate Hawkes processes
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Statistical consistency and asymptotic normality for high-dimensional robust M-estimators
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High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang
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30 Dec 2014
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
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Mladen Kolar
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Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory
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Tong Zhang
32
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Support recovery without incoherence: A case for nonconvex regularization
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The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso
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False discovery rate smoothing
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Group Regularized Estimation under Structural Hierarchy
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Robust Estimation of High-Dimensional Mean Regression
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Geometric Inference for General High-Dimensional Linear Inverse Problems
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Distance-based and continuum Fano inequalities with applications to statistical estimation
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Variable Selection in Causal Inference Using Penalization
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D. Stephens
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Parameterless Optimal Approximate Message Passing
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A. Maleki
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29
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The partial linear model in high dimensions
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