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    JMLR
    2012
    180views Programming Languages» more  JMLR 2012»
    Generic Methods for Optimization-Based Modeling
    11 years 9 months ago
    Generic Methods for Optimization-Based Modeling
    Download  phd.gccis.rit.edu
    “Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
    Justin Domke
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    JMLR
    2012
    176views Programming Languages» more  JMLR 2012»
    Fast interior-point inference in high-dimensional sparse, penalized state-space models
    11 years 9 months ago
    Fast interior-point inference in high-dimensional sparse, penalized state-space models
    Download  www.stat.columbia.edu
    We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...
    Eftychios A. Pnevmatikakis, Liam Paninski
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    JMLR
    2012
    203views Programming Languages» more  JMLR 2012»
    Maximum Margin Temporal Clustering
    11 years 9 months ago
    Maximum Margin Temporal Clustering
    Download  www.humansensing.cs.cmu.edu
    Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
    Minh Hoai Nguyen, Fernando De la Torre
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    JMLR
    2012
    185views Programming Languages» more  JMLR 2012»
    Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration
    11 years 9 months ago
    Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration
    Download  jmlr.csail.mit.edu
    The problem of curve registration appears in many different areas of applications ranging from neuroscience to road traffic modeling. In the present work, we propose a nonparamet...
    Arnak S. Dalalyan, Olivier Collier
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    JMLR
    2012
    173views Programming Languages» more  JMLR 2012»
    Perturbation based Large Margin Approach for Ranking
    11 years 9 months ago
    Perturbation based Large Margin Approach for Ranking
    Download  www.cs.utexas.edu
    We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
    Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar
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    JMLR
    2012
    200views Programming Languages» more  JMLR 2012»
    Sparse Higher-Order Principal Components Analysis
    11 years 9 months ago
    Sparse Higher-Order Principal Components Analysis
    Download  www.stat.rice.edu
    Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
    Genevera Allen
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    JMLR
    2012
    165views Programming Languages» more  JMLR 2012»
    Transductive Learning of Structural SVMs via Prior Knowledge Constraints
    11 years 9 months ago
    Transductive Learning of Structural SVMs via Prior Knowledge Constraints
    Download  www.cs.cornell.edu
    Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
    Chun-Nam Yu
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    JMLR
    2012
    185views Programming Languages» more  JMLR 2012»
    Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
    11 years 9 months ago
    Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
    Download  hal.inria.fr
    Alexandra Carpentier, Rémi Munos
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    JMLR
    2012
    197views Programming Languages» more  JMLR 2012»
    Sample Complexity of Composite Likelihood
    11 years 9 months ago
    Sample Complexity of Composite Likelihood
    Download  www.select.cs.cmu.edu
    We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...
    Joseph K. Bradley, Carlos Guestrin
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    JMLR
    2012
    152views Programming Languages» more  JMLR 2012»
    Learning Fourier Sparse Set Functions
    11 years 9 months ago
    Learning Fourier Sparse Set Functions
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    Peter Stobbe, Andreas Krause
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