Showing 1 - 20 results of 109 for search 'Jaakkola, Tommi', query time: 0.06s Refine Results
  1. 1
    Two-sided exponential concentration bounds for Bayes error rate and Shannon entropy

    Two-sided exponential concentration bounds for Bayes error rate and Shannon entropy by Honorio, Jean, Jaakkola, Tommi S.

    Published 2015
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    Article
  2. 2
    Controlling privacy in recommender systems

    Controlling privacy in recommender systems by Xin, Yu, Jaakkola, Tommi S.

    Published 2015
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    Article
  3. 3
    A unified framework for consistency of regularized loss minimizers

    A unified framework for consistency of regularized loss minimizers by Honorio, Jean, Jaakkola, Tommi S.

    Published 2015
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    Article
  4. 4
    Variational methods for inference and estimation in graphical models

    Variational methods for inference and estimation in graphical models by Jaakkola, Tommi S. (Tommi Sakari)

    Published 2005
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    Thesis
  5. 5
    High Dimensional Inference with Random Maximum A-Posteriori Perturbations

    High Dimensional Inference with Random Maximum A-Posteriori Perturbations by Maji, Subhransu, Jaakkola, Tommi S

    Published 2021
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    Article
  6. 6
    Solving graph compression via optimal transport

    Solving graph compression via optimal transport by Garg, Vikas, Jaakkola, Tommi S

    Published 2021
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    Article
  7. 7
    Direct optimization through arg max for discrete variational auto-encoder

    Direct optimization through arg max for discrete variational auto-encoder by Gane, Andreea, Jaakkola, Tommi S

    Published 2021
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    Article
  8. 8
    On the Partition Function and Random Maximum A-Posteriori Perturbations

    On the Partition Function and Random Maximum A-Posteriori Perturbations by Hazan, Tamir, Jaakkola, Tommi

    Published 2021
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    Article
  9. 9
    On the Partition Function and Random Maximum A-Posteriori Perturbations

    On the Partition Function and Random Maximum A-Posteriori Perturbations by Hazan, Tamir, Jaakkola, Tommi

    Published 2021
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    Article
  10. 10
    Local aggregative games

    Local aggregative games by Jaakkola, Tommi, Garg, Vikas

    Published 2021
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    Article
  11. 11
    Online Learning of Non-stationary Sequences

    Online Learning of Non-stationary Sequences by Monteleoni, Claire, Jaakkola, Tommi

    Published 2005
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  12. 12
    6.867 Machine Learning, Fall 2002

    6.867 Machine Learning, Fall 2002 by Jaakkola, Tommi S. (Tommi Sakari)

    Published 2002
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    Learning Object
  13. 13
    Stable Mixing of Complete and Incomplete Information

    Stable Mixing of Complete and Incomplete Information by Corduneanu, Adrian, Jaakkola, Tommi

    Published 2004
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  14. 14
    On the Dirichlet Prior and Bayesian Regularization

    On the Dirichlet Prior and Bayesian Regularization by Steck, Harald, Jaakkola, Tommi S.

    Published 2004
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  15. 15
    Generalized Low-Rank Approximations

    Generalized Low-Rank Approximations by Srebro, Nathan, Jaakkola, Tommi

    Published 2004
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  16. 16
    (Semi-)Predictive Discretization During Model Selection

    (Semi-)Predictive Discretization During Model Selection by Steck, Harald, Jaakkola, Tommi S.

    Published 2004
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  17. 17
    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
  18. 18
    Tight bounds for the expected risk of linear classifiers and PAC-bayes finite-sample guarantees

    Tight bounds for the expected risk of linear classifiers and PAC-bayes finite-sample guarantees by Honorio Carrillo, Jean, Jaakkola, Tommi S.

    Published 2018
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    Article
  19. 19
    Approximate inference in additive factorial HMMs with application to energy disaggregation

    Approximate inference in additive factorial HMMs with application to energy disaggregation by Kolter, Jeremy Z., Jaakkola, Tommi S.

    Published 2018
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    Article
  20. 20
    Principal differences analysis: Interpretable characterization of differences between distributions

    Principal differences analysis: Interpretable characterization of differences between distributions by Mueller, Jonas Weylin, Jaakkola, Tommi S

    Published 2018
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