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    JMLR
    2012
    220views Programming Languages» more  JMLR 2012»
    Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
    11 years 8 months ago
    Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
    Download  jmlr.csail.mit.edu
    Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
    Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
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    JMLR
    2012
    238views Programming Languages» more  JMLR 2012»
    Factorized Asymptotic Bayesian Inference for Mixture Modeling
    11 years 8 months ago
    Factorized Asymptotic Bayesian Inference for Mixture Modeling
    Download  jmlr.csail.mit.edu
    This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
    Ryohei Fujimaki, Satoshi Morinaga
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    JMLR
    2012
    250views Programming Languages» more  JMLR 2012»
    Online Incremental Feature Learning with Denoising Autoencoders
    11 years 8 months ago
    Online Incremental Feature Learning with Denoising Autoencoders
    Download  web.eecs.umich.edu
    While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
    Guanyu Zhou, Kihyuk Sohn, Honglak Lee
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    JMLR
    2012
    255views Programming Languages» more  JMLR 2012»
    Learning Low-order Models for Enforcing High-order Statistics
    11 years 8 months ago
    Learning Low-order Models for Enforcing High-order Statistics
    Download  jmlr.csail.mit.edu
    Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
    Patrick Pletscher, Pushmeet Kohli
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    JMLR
    2012
    178views Programming Languages» more  JMLR 2012»
    Statistical test for consistent estimation of causal effects in linear non-Gaussian models
    11 years 8 months ago
    Statistical test for consistent estimation of causal effects in linear non-Gaussian models
    Download  www.cs.helsinki.fi
    This document contains supplementary material to the article ‘Statistical test for consistent estimation of causal effects in linear non-Gaussian models’, AISTATS 2012. A tabl...
    Doris Entner, Patrik O. Hoyer, Peter Spirtes
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    JMLR
    2012
    181views Programming Languages» more  JMLR 2012»
    Gaussian Processes for time-marked time-series data
    11 years 8 months ago
    Gaussian Processes for time-marked time-series data
    Download  cunningham.wustl.edu
    In many settings, data is collected as multiple time series, where each recorded time series is an observation of some underlying dynamical process of interest. These observations...
    John Cunningham, Zoubin Ghahramani, Carl Edward Ra...
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    JMLR
    2012
    180views Programming Languages» more  JMLR 2012»
    On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
    11 years 8 months ago
    On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
    Download  www.cs.ubc.ca
    This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
    David Buchman, Mark W. Schmidt, Shakir Mohamed, Da...
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    JMLR
    2012
    188views Programming Languages» more  JMLR 2012»
    Metric and Kernel Learning Using a Linear Transformation
    11 years 8 months ago
    Metric and Kernel Learning Using a Linear Transformation
    Download  www.cs.utexas.edu
    Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
    Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
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    JMLR
    2012
    187views Programming Languages» more  JMLR 2012»
    Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
    11 years 8 months ago
    Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
    Download  www.eecs.berkeley.edu
    Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
    Garvesh Raskutti, Martin J. Wainwright, Bin Yu
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    JMLR
    2012
    193views Programming Languages» more  JMLR 2012»
    Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
    11 years 8 months ago
    Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
    Download  ipg.epfl.ch
    Matthias Seeger, Guillaume Bouchard
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