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    JMLR
    2012
    209views Programming Languages» more  JMLR 2012»
    Exploiting Unrelated Tasks in Multi-Task Learning
    12 years 1 months ago
    Exploiting Unrelated Tasks in Multi-Task Learning
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    We study the problem of learning a group of principal tasks using a group of auxiliary tasks, unrelated to the principal ones. In many applications, joint learning of unrelated ta...
    Bernardino Romera-Paredes, Andreas Argyriou, Nadia...
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    JMLR
    2012
    200views Programming Languages» more  JMLR 2012»
    Contextual Bandit Learning with Predictable Rewards
    12 years 1 months ago
    Contextual Bandit Learning with Predictable Rewards
    Download  www.cs.princeton.edu
    Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
    Alekh Agarwal, Miroslav Dudík, Satyen Kale,...
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    JMLR
    2012
    223views Programming Languages» more  JMLR 2012»
    Multiple Texture Boltzmann Machines
    12 years 1 months ago
    Multiple Texture Boltzmann Machines
    Download  homepages.inf.ed.ac.uk
    We assess the generative power of the mPoTmodel of [10] with tiled-convolutional weight sharing as a model for visual textures by specifically training on this task, evaluating m...
    Jyri J. Kivinen, Christopher K. I. Williams
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    JMLR
    2012
    196views Programming Languages» more  JMLR 2012»
    A metric learning perspective of SVM: on the relation of LMNN and SVM
    12 years 1 months ago
    A metric learning perspective of SVM: on the relation of LMNN and SVM
    Download  jmlr.csail.mit.edu
    Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
    Huyen Do, Alexandros Kalousis, Jun Wang, Adam Wozn...
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    JMLR
    2012
    171views Programming Languages» more  JMLR 2012»
    Structured Output Learning with High Order Loss Functions
    12 years 1 months ago
    Structured Output Learning with High Order Loss Functions
    Download  jmlr.csail.mit.edu
    Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
    Daniel Tarlow, Richard S. Zemel
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    JMLR
    2012
    192views Programming Languages» more  JMLR 2012»
    Detecting Network Cliques with Radon Basis Pursuit
    12 years 1 months ago
    Detecting Network Cliques with Radon Basis Pursuit
    Download  www.math.pku.edu.cn
    In this paper, we propose a novel formulation of the network clique detection problem by introducing a general network data representation framework. We show connections between o...
    Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guiba...
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    JMLR
    2012
    169views Programming Languages» more  JMLR 2012»
    Sparsistency of the Edge Lasso over Graphs
    12 years 1 months ago
    Sparsistency of the Edge Lasso over Graphs
    Download  www.cs.cmu.edu
    James Sharpnack, Aarti Singh, Alessandro Rinaldo
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    JMLR
    2012
    159views Programming Languages» more  JMLR 2012»
    Randomized Optimum Models for Structured Prediction
    12 years 1 months ago
    Randomized Optimum Models for Structured Prediction
    Download  hips.seas.harvard.edu
    One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
    Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
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    JMLR
    2012
    162views Programming Languages» more  JMLR 2012»
    High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
    12 years 1 months ago
    High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
    Download  jmlr.csail.mit.edu
    Christopher C. Johnson, Ali Jalali, Pradeep D. Rav...
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    JMLR
    2012
    223views Programming Languages» more  JMLR 2012»
    Hierarchical Latent Dictionaries for Models of Brain Activation
    12 years 1 months ago
    Hierarchical Latent Dictionaries for Models of Brain Activation
    Download  www.stat.washington.edu
    In this work, we propose a hierarchical latent dictionary approach to estimate the timevarying mean and covariance of a process for which we have only limited noisy samples. We fu...
    Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M....
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