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    UAI
    2008
    251views Artificial Intelligence» more  UAI 2008»
    Almost Optimal Intervention Sets for Causal Discovery
    13 years 6 months ago
    Almost Optimal Intervention Sets for Causal Discovery
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    We conjecture that the worst case number of experiments necessary and sufficient to discover a causal graph uniquely given its observational Markov equivalence class can be specif...
    Frederick Eberhardt
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    UAI
    2008
    239views Artificial Intelligence» more  UAI 2008»
    Bounds on the Bethe Free Energy for Gaussian Networks
    13 years 6 months ago
    Bounds on the Bethe Free Energy for Gaussian Networks
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    We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. As an extension of Welling and ...
    Botond Cseke, Tom Heskes
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    UAI
    2008
    216views Artificial Intelligence» more  UAI 2008»
    Latent Topic Models for Hypertext
    13 years 6 months ago
    Latent Topic Models for Hypertext
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    Latent topic models have been successfully applied as an unsupervised topic discovery technique in large document collections. With the proliferation of hypertext document collect...
    Amit Gruber, Michal Rosen-Zvi, Yair Weiss
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    UAI
    2008
    216views Artificial Intelligence» more  UAI 2008»
    Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies
    13 years 6 months ago
    Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies
    Download  www.cs.huji.ac.il
    Inference problems in graphical models can be represented as a constrained optimization of a free energy function. It is known that when the Bethe free energy is used, the fixedpo...
    Tamir Hazan, Amnon Shashua
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    UAI
    2008
    234views Artificial Intelligence» more  UAI 2008»
    Improving Gradient Estimation by Incorporating Sensor Data
    13 years 6 months ago
    Improving Gradient Estimation by Incorporating Sensor Data
    Download  www.cs.berkeley.edu
    An efficient policy search algorithm should estimate the local gradient of the objective function, with respect to the policy parameters, from as few trials as possible. Whereas m...
    Gregory Lawrence, Stuart J. Russell
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    UAI
    2008
    212views Artificial Intelligence» more  UAI 2008»
    Bayesian Out-Trees
    13 years 6 months ago
    Bayesian Out-Trees
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    A Bayesian treatment of latent directed graph structure for non-iid data is provided where each child datum is sampled with a directed conditional dependence on a single unknown p...
    Tony Jebara
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    UAI
    2008
    217views Artificial Intelligence» more  UAI 2008»
    Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
    13 years 6 months ago
    Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
    Download  www.cs.umass.edu
    Although fully generative models have been successfully used to model the contents of text documents, they are often awkward to apply to combinations of text data and document met...
    David M. Mimno, Andrew McCallum
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    UAI
    2008
    186views Artificial Intelligence» more  UAI 2008»
    Sensitivity analysis for finite Markov chains in discrete time
    13 years 6 months ago
    Sensitivity analysis for finite Markov chains in discrete time
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    When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This is done by considering a...
    Gert De Cooman, Filip Hermans, Erik Quaeghebeur
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    UAI
    2008
    203views Artificial Intelligence» more  UAI 2008»
    Strategy Selection in Influence Diagrams using Imprecise Probabilities
    13 years 6 months ago
    Strategy Selection in Influence Diagrams using Imprecise Probabilities
    Download  uai2008.cs.helsinki.fi
    This paper describes a new algorithm to solve the decision making problem in Influence Diagrams based on algorithms for credal networks. Decision nodes are associated to imprecise...
    Cassio Polpo de Campos, Qiang Ji
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    UAI
    2008
    214views Artificial Intelligence» more  UAI 2008»
    A Game-Theoretic Analysis of Updating Sets of Probabilities
    13 years 6 months ago
    A Game-Theoretic Analysis of Updating Sets of Probabilities
    Download  uai2008.cs.helsinki.fi
    We consider how an agent should update her uncertainty when it is represented by a set P of probability distributions and the agent observes that a random variable X takes on valu...
    Peter Grünwald, Joseph Y. Halpern
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