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    NIPS
    2008
    125views Information Technology» more  NIPS 2008»
    An interior-point stochastic approximation method and an L1-regularized delta rule
    14 years 29 days ago
    An interior-point stochastic approximation method and an L1-regularized delta rule
    Download  www.cs.ubc.ca
    The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
    Peter Carbonetto, Mark Schmidt, Nando de Freitas
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    NIPS
    2008
    119views Information Technology» more  NIPS 2008»
    Online Optimization in X-Armed Bandits
    14 years 29 days ago
    Online Optimization in X-Armed Bandits
    Download  opt2008.kyb.tuebingen.mpg.de
    Sébastien Bubeck, Rémi Munos, Gilles...
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    NIPS
    2008
    130views Information Technology» more  NIPS 2008»
    Mortal Multi-Armed Bandits
    14 years 29 days ago
    Mortal Multi-Armed Bandits
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    We formulate and study a new variant of the k-armed bandit problem, motivated by e-commerce applications. In our model, arms have (stochastic) lifetime after which they expire. In...
    Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski,...
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    NIPS
    2008
    175views Information Technology» more  NIPS 2008»
    Local Gaussian Process Regression for Real Time Online Model Learning
    14 years 29 days ago
    Local Gaussian Process Regression for Real Time Online Model Learning
    Download  www.kyb.tuebingen.mpg.de
    Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
    Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
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    NIPS
    2008
    149views Information Technology» more  NIPS 2008»
    Scalable Algorithms for String Kernels with Inexact Matching
    14 years 29 days ago
    Scalable Algorithms for String Kernels with Inexact Matching
    Download  www.cs.rutgers.edu
    We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...
    Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic
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    NIPS
    2008
    135views Information Technology» more  NIPS 2008»
    The Recurrent Temporal Restricted Boltzmann Machine
    14 years 29 days ago
    The Recurrent Temporal Restricted Boltzmann Machine
    Download  www.cs.toronto.edu
    The Temporal Restricted Boltzmann Machine (TRBM) is a probabilistic model for sequences that is able to successfully model (i.e., generate nice-looking samples of) several very hi...
    Ilya Sutskever, Geoffrey E. Hinton, Graham W. Tayl...
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    NIPS
    2008
    148views Information Technology» more  NIPS 2008»
    Kernel Change-point Analysis
    14 years 29 days ago
    Kernel Change-point Analysis
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    We introduce a kernel-based method for change-point analysis within a sequence of temporal observations. Change-point analysis of an unlabelled sample of observations consists in,...
    Zaïd Harchaoui, Francis Bach, Eric Moulines
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    NIPS
    2008
    123views Information Technology» more  NIPS 2008»
    Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method
    14 years 29 days ago
    Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method
    Download  fodava.gatech.edu
    Dongryeol Lee, Alexander G. Gray
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    NIPS
    2008
    150views Information Technology» more  NIPS 2008»
    Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds
    14 years 29 days ago
    Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds
    Download  www.neurotheory.columbia.edu
    Sequential optimal design methods hold great promise for improving the efficiency of neurophysiology experiments. However, previous methods for optimal experimental design have in...
    Jeremy Lewi, Robert J. Butera, David M. Schneider,...
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    NIPS
    2008
    116views Information Technology» more  NIPS 2008»
    Simple Local Models for Complex Dynamical Systems
    14 years 29 days ago
    Simple Local Models for Complex Dynamical Systems
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    We present a novel mathematical formalism for the idea of a "local model" of an uncontrolled dynamical system, a model that makes only certain predictions in only certai...
    Erik Talvitie, Satinder Singh
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