Showing 1 - 16 results of 16 for search 'Association for Uncertainty in Artificial Intelligence', query time: 0.81s Refine Results
  1. 1
    Kernel-nased just-in-time learning for passing expectation propagation messages

    Kernel-nased just-in-time learning for passing expectation propagation messages by Jitkrittum, W, Gretton, A, Heess, N, Eslami, S, Lakshminarayanan, B, Sejdinovic, D, Szabó, Z

    Published 2015
    “…Association for Uncertainty in Artificial Intelligence…”
    Conference item
  2. 2
    Revisiting reweighted wake-sleep for models with stochastic control flow

    Revisiting reweighted wake-sleep for models with stochastic control flow by Le, T, Kosiorek, A, Siddharth, N, Teh, Y, Wood, F

    Published 2019
    “…Association for Uncertainty in Artificial Intelligence…”
    Conference item
  3. 3
    Nesting probabilistic programs

    Nesting probabilistic programs by Rainforth, T

    Published 2018
    “…Association for Uncertainty in Artificial Intelligence…”
    Conference item
  4. 4
    Interpreting lion behaviour with nonparametric probabilistic programs

    Interpreting lion behaviour with nonparametric probabilistic programs by Dhir, N, Wood, F, Vakar, M, Markham, A, Wijers, M, Trethowan, P, Du Preez, B, Loveridge, A, Macdonald, D

    Published 2017
    “…Association for Uncertainty in Artificial Intelligence…”
    Conference item
  5. 5
    Feature-to-feature regression for a two-step conditional independence test

    Feature-to-feature regression for a two-step conditional independence test by Zhang, Q, Filippi, S, Flaxman, S, Sejdinovic, D

    Published 2017
    “…Association for Uncertainty in Artificial Intelligence…”
    Conference item
  6. 6
    Counting Markov equivalence classes by number of immoralities

    Counting Markov equivalence classes by number of immoralities by Radhakrishnan, Adityanarayanan, Solus, Liam, Uhler, Caroline

    Published 2020
    “…Association for Uncertainty in Artificial Intelligence (AUAI)…”
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    Article
  7. 7
    Unsupervised learning of latent physical properties using perception-prediction networks

    Unsupervised learning of latent physical properties using perception-prediction networks by Zheng, David Y., Wu, Jiajun, Tenenbaum, Joshua B

    Published 2020
    “…Association For Uncertainty in Artificial Intelligence (AUAI)…”
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    Article
  8. 8
    The Infinite Latent Events Model

    The Infinite Latent Events Model by Wingate, David, Goodman, Noah D., Roy, Daniel, Tenenbaum, Joshua B.

    Published 2012
    “…Association for Uncertainty in Artificial Intelligence Press…”
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    Article
  9. 9
    The Hierarchical Dirichlet Process Hidden Semi-Markov Model

    The Hierarchical Dirichlet Process Hidden Semi-Markov Model by Johnson, Matthew James, Willsky, Alan S

    Published 2013
    “…Association for Uncertainty in Artificial Intelligence (AUAI)…”
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    Article
  10. 10
    Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations

    Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations by Chen, Jie, Cao, Nannan, Low, Kian Hsiang, Ouyang, Ruofei, Colin Keng-Yan, Tan, Jaillet, Patrick

    Published 2014
    “…Association for Uncertainty in Artificial Intelligence Press…”
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    Article
  11. 11
    Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena

    Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena by Chen, Jie, Low, Kian Hsiang, Tan, Colin Keng-Yan, Oran, Ali, Jaillet, Patrick, Dolan, John, Sukhatme, Gaurav

    Published 2014
    “…Association for Uncertainty in Artificial Intelligence (AUAI)…”
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    Article
  12. 12
    Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models

    Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models by Honorio, Jean, Jaakkola, Tommi S.

    Published 2014
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    Article
  13. 13
    Approximate Decentralized Bayesian Inference

    Approximate Decentralized Bayesian Inference by Campbell, Trevor David, How, Jonathan P.

    Published 2014
    “…Association for Uncertainty in Artificial Intelligence Press…”
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    Article
  14. 14
    Batch-iFDD for representation expansion in large MDPs

    Batch-iFDD for representation expansion in large MDPs by Geramifard, Alborz, Walsh, Thomas J., Roy, Nicholas, How, Jonathan P.

    Published 2015
    “…Association for Uncertainty in Artificial Intelligence (AUAI)…”
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    Article
  15. 15
    The Mondrian kernel

    The Mondrian kernel by Balog, M, Lakshminarayanan, B, Ghahramani, Z, Roy, D, Teh, Y

    Published 2016
    “…Association for Uncertainty in Artificial Intelligence Press…”
    Conference item
  16. 16
    Causal bounds and instruments

    Causal bounds and instruments by Ramsahai, R

    Published 2007
    “…Association for Uncertainty in Artificial Intelligence (AUAI) Press…”
    Journal article

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