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    NIPS
    2007
    125views Information Technology» more  NIPS 2007»
    A neural network implementing optimal state estimation based on dynamic spike train decoding
    14 years 2 months ago
    A neural network implementing optimal state estimation based on dynamic spike train decoding
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    It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
    Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
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    NIPS
    2007
    125views Information Technology» more  NIPS 2007»
    Variational inference for Markov jump processes
    14 years 2 months ago
    Variational inference for Markov jump processes
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    Markov jump processes play an important role in a large number of application domains. However, realistic systems are analytically intractable and they have traditionally been ana...
    Manfred Opper, Guido Sanguinetti
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    NIPS
    2007
    148views Information Technology» more  NIPS 2007»
    Regret Minimization in Games with Incomplete Information
    14 years 2 months ago
    Regret Minimization in Games with Incomplete Information
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    Extensive games are a powerful model of multiagent decision-making scenarios with incomplete information. Finding a Nash equilibrium for very large instances of these games has re...
    Martin Zinkevich, Michael Johanson, Michael H. Bow...
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    NIPS
    2007
    147views Information Technology» more  NIPS 2007»
    TrueSkill Through Time: Revisiting the History of Chess
    14 years 2 months ago
    TrueSkill Through Time: Revisiting the History of Chess
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    We extend the Bayesian skill rating system TrueSkill to infer entire time series of skills of players by smoothing through time instead of filtering. The skill of each participat...
    Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thor...
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    NIPS
    2007
    186views Information Technology» more  NIPS 2007»
    Distributed Inference for Latent Dirichlet Allocation
    14 years 2 months ago
    Distributed Inference for Latent Dirichlet Allocation
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    We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
    David Newman, Arthur Asuncion, Padhraic Smyth, Max...
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    NIPS
    2007
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    A learning framework for nearest neighbor search
    14 years 2 months ago
    A learning framework for nearest neighbor search
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    Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
    Lawrence Cayton, Sanjoy Dasgupta
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    NIPS
    2007
    142views Information Technology» more  NIPS 2007»
    Topmoumoute Online Natural Gradient Algorithm
    14 years 2 months ago
    Topmoumoute Online Natural Gradient Algorithm
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    Guided by the goal of obtaining an optimization algorithm that is both fast and yields good generalization, we study the descent direction maximizing the decrease in generalizatio...
    Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua B...
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    NIPS
    2007
    135views Information Technology» more  NIPS 2007»
    The Price of Bandit Information for Online Optimization
    14 years 2 months ago
    The Price of Bandit Information for Online Optimization
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    In the online linear optimization problem, a learner must choose, in each round, a decision from a set D ⊂ Rn in order to minimize an (unknown and changing) linear cost function...
    Varsha Dani, Thomas P. Hayes, Sham Kakade
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    NIPS
    2007
    136views Information Technology» more  NIPS 2007»
    Learning Bounds for Domain Adaptation
    14 years 2 months ago
    Learning Bounds for Domain Adaptation
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    Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
    John Blitzer, Koby Crammer, Alex Kulesza, Fernando...
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    NIPS
    2007
    121views Information Technology» more  NIPS 2007»
    The Noisy-Logical Distribution and its Application to Causal Inference
    14 years 2 months ago
    The Noisy-Logical Distribution and its Application to Causal Inference
    Download  preprints.stat.ucla.edu
    Alan L. Yuille, Hongjing Lu
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