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Efficient Algorithm for Extremely Large Multi-task Regression with Massive Structured Sparsity
Algorithm Large Multi-task Regression Massive Structured Sparsity
2012/9/17
We develop a highly scalable optimization method called “hierarchical group-thresholding”for solving a multi-task regression model with complex structured sparsity constraints on both input and output...
Asymptotically efficient estimation of a scale parameter in Gaussian time series and closed-form expressions for the Fisher information
efficient estimation fractional Brownian motion Fisher information general monotone sequence regular variation slowly varying functions spectral density.
2012/9/18
Mimicking the maximum likelihood estimator, we construct first order Cramer-Rao efficient and explicitly computable estimators for the scale parameterσ2 in the model Zi,n =σn−βXi+Yi, i = 1, . . ...
One Permutation Hashing for Efficient Search and Learning
Permutation Hashing Efficient Search Learning
2012/9/18
Minwise hashing is a standard procedure in the context of search, for efficiently estimating set similari-ties in massive binary data such as text. Recently, the method ofb-bit minwise hashing has bee...
Efficient Point-to-Subspace Query in $\ell^1$ with Application to Robust Face Recognition
point-to-subspace distance nearest subspace search Cauchy projection ace recog-nition subspace modeling
2012/9/18
Motivated by vision tasks such as robust face and object recognition, we consider the follow-ing general problem: given a collection of low-dimensional linear subspaces in a high-dimensional ambient (...
Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies
Efficient computation a linear mixed model on large-scale data sets applications genetic studies
2012/9/19
Motivated by genome-wide association studies we consider astan-dard linear model with one additional random effect in situations where many predictors have been collected on the same subjects and each...
Quarticity and other functionals of volatility: efficient estimation
semimartingale high frequency data volatility estimation central limit theo-rem efficient estimation
2012/9/19
We consider a multidimensional It坥 semimartingale regularly sampled on [0,t] at high frequency 1/∆n, with ∆n going to zero. The goal of this paper is to provide an estimator for the integr...
Efficient Estimators for Sequential and Resolution-Limited Inverse Problems
deconvolution ill-posed image processing sig-nal recovery
2012/9/18
A common problem in the sciences is that a signal of interest is observed only indirectly, through smooth functionals of the signal whose values are then obscured by noise. In suchinverse problems, th...
A note on sensitivity of principal component subspaces and the efficient detection of influential observations in high dimensions
distance between subspaces influential observations perturbation principal component analysis
2009/9/16
In this paper we introduce an influence measure based on second order expansion of the RV and GCD measures for the comparison between unperturbed and perturbed eigenvectors of a symmetric matrix estim...