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    JMLR
    2012
    182views Programming Languages» more  JMLR 2012»
    Robust Multi-task Regression with Grossly Corrupted Observations
    11 years 7 months ago
    Robust Multi-task Regression with Grossly Corrupted Observations
    Download  guppy.mpe.nus.edu.sg
    We consider the multiple-response regression problem, where the response is subject to sparse gross errors, in the high-dimensional setup. We propose a tractable regularized M-est...
    Huan Xu, Chenlei Leng
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    JMLR
    2012
    212views Programming Languages» more  JMLR 2012»
    Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach
    11 years 7 months ago
    Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach
    Download  astro.temple.edu
    Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen
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    JMLR
    2012
    186views Programming Languages» more  JMLR 2012»
    Adaptive MCMC with Bayesian Optimization
    11 years 7 months ago
    Adaptive MCMC with Bayesian Optimization
    Download  jmlr.csail.mit.edu
    This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
    Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando d...
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    JMLR
    2012
    186views Programming Languages» more  JMLR 2012»
    Bayesian Quadrature for Ratios
    11 years 7 months ago
    Bayesian Quadrature for Ratios
    Download  www.robots.ox.ac.uk
    We describe a novel approach to quadrature for ratios of probabilistic integrals, such as are used to compute posterior probabilities. This approach offers performance superior t...
    Michael A. Osborne, Roman Garnett, Stephen J. Robe...
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    JMLR
    2012
    230views Programming Languages» more  JMLR 2012»
    Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
    11 years 7 months ago
    Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
    Download  www.cs.cmu.edu
    The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
    Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
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    JMLR
    2012
    186views Programming Languages» more  JMLR 2012»
    A General Framework for Structured Sparsity via Proximal Optimization
    11 years 7 months ago
    A General Framework for Structured Sparsity via Proximal Optimization
    Download  jmlr.csail.mit.edu
    We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
    Luca Baldassarre, Jean Morales, Andreas Argyriou, ...
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    JMLR
    2012
    194views Programming Languages» more  JMLR 2012»
    Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
    11 years 7 months ago
    Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
    Download  www.stanford.edu
    We consider the sparse inverse covariance regularization problem or graphical lasso with regularization parameter λ. Suppose the sample covariance graph formed by thresholding th...
    Rahul Mazumder, Trevor Hastie
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    JMLR
    2012
    176views Programming Languages» more  JMLR 2012»
    SpeedBoost: Anytime Prediction with Uniform Near-Optimality
    11 years 7 months ago
    SpeedBoost: Anytime Prediction with Uniform Near-Optimality
    Download  www.ri.cmu.edu
    We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
    Alexander Grubb, Drew Bagnell
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    JMLR
    2012
    177views Programming Languages» more  JMLR 2012»
    NIMFA: A Python Library for Nonnegative Matrix Factorization
    11 years 7 months ago
    NIMFA: A Python Library for Nonnegative Matrix Factorization
    Download  eprints.fri.uni-lj.si
    NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factoriza...
    Marinka Zitnik, Blaz Zupan
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    JMLR
    2012
    183views Programming Languages» more  JMLR 2012»
    High-Rank Matrix Completion
    11 years 7 months ago
    High-Rank Matrix Completion
    Download  jmlr.csail.mit.edu
    This paper considers the problem of completing a matrix with many missing entries under the assumption that the columns of the matrix belong to a union of multiple low-rank subspa...
    Brian Eriksson, Laura Balzano, Robert Nowak
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