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- Spectral clustering and the high-dimensional Stochastic Block Model
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- arXiv:0908.1940v1[math.ST]13Aug2009 Asymptotic distribution and sparsistency
- A path following algorithm for Sparse Pseudo-Likelihood Inverse Covariance Estimation
- MAXIMUM LIKELIHOOD ESTIMATION OF CLOUD HEIGHT FROM MULTI-ANGLE SATELLITE IMAGERY.
- Greedy and Relaxed Approximations to Model Selection: A simulation study
- Daytime Arctic Cloud Detection based on Multi-angle Satellite Data with Case Studies
- Embracing Statistical Challenges in the Information Technology Age
- Detection of Daytime Arctic Clouds using MISR and , Eugene E. Clothiaux
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- Exploring quasi Monte Carlo for marginal density approximation
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- 2000 Conference on Information Sciences and Systems, Princeton University, March 1517, 2000 ``Comprestimation'': Microarray Images in Abundance.
- Discovering Word Associations in News Media via Feature Selection and Sparse Classification
- Approximation Lasso Methods for Language Modeling Jianfeng Gao
- Iterated Logarithmic Expansions of the Pathwise Code Lengths for Exponential Families
- SUBMITTED TO IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Wavelet Thresholding for Multiple Noisy
- Discussion. Additive logistic regression: a statistical view of boosting, by Friedman, J., Hastie, T. and Tibshirani, R.
- Multi-task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories Yahong Han and Fei Wu
- Perceptual Audio Coding using Adaptive Pre-and Post-Filters and Lossless Compression
- Model Selection and the Principle of Minimum Description Length
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- Internet Tomography Mark Coates Alfred Hero Robert Nowak Bin Yu
- SUBMITTED TO IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Adaptive Wavelet Thresholding for Image
- Maximum Pseudo Likelihood Estimation in Network Tomography
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- Submitted to the Annals of Statistics LASSO-TYPE RECOVERY OF SPARSE
- Minimum Description Length Model Selection Criteria for Generalized Linear Models Mark Hansen
- The Annals of Statistics 1997, Vol. 25, No. 1, 169 185
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- Microarray Image Compression: SLOCO and the E ect of Information Loss
- Minimax-optimal rates for sparse additive models over kernel classes via convex programming
- Insensitivity of Adaptive Quantization to Model Estimation in Wavelet Subband Coding
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- Boosting with the L 2 Loss: Regression and Classification Peter Buhlmann
- Submitted to the Annals of Statistics A TALE OF THREE COUSINS: LASSO, L2BOOSTING
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- Codes and Models Bell Labs, Lucent and UC Berkeley
- Time-Varying Network Tomography: Router Link Data
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- Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
- Multiterminal Estimation Extensions and a Geometric Interpretation.
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- Compressing Genomic and Proteomic Array Images for
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- High-dimensional covariance estimation by minimizing 1-penalized log-determinant divergence
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