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    JMLR
    2012
    186views Programming Languages» more  JMLR 2012»
    Bayesian Quadrature for Ratios
    11 years 9 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 9 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 9 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 9 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 9 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 9 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 9 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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    JMLR
    2012
    170views Programming Languages» more  JMLR 2012»
    Minimax rates for homology inference
    11 years 9 months ago
    Minimax rates for homology inference
    Download  www.cs.cmu.edu
    Often, high dimensional data lie close to a low-dimensional submanifold and it is of interest to understand the geometry of these submanifolds. The homology groups of a manifold a...
    Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sh...
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    JMLR
    2012
    178views Programming Languages» more  JMLR 2012»
    A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
    11 years 9 months ago
    A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
    Download  www.cs.ubc.ca
    The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
    Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
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    JMLR
    2012
    239views Programming Languages» more  JMLR 2012»
    Beyond Logarithmic Bounds in Online Learning
    11 years 9 months ago
    Beyond Logarithmic Bounds in Online Learning
    Download  francesco.orabona.com
    We prove logarithmic regret bounds that depend on the loss L∗ T of the competitor rather than on the number T of time steps. In the general online convex optimization setting, o...
    Francesco Orabona, Nicolò Cesa-Bianchi, Cla...
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