Bayesian inference

Results: 1902



#Item
1Cataloging the Visible Universe through Bayesian Inference at Petascale Jeffrey Regier∗ , Kiran Pamnany† , Keno Fischer‡ , Andreas Noack§ , Maximilian Lam∗ , Jarrett Revels§ , Steve Howard¶ , Ryan Giordano¶ ,

Cataloging the Visible Universe through Bayesian Inference at Petascale Jeffrey Regier∗ , Kiran Pamnany† , Keno Fischer‡ , Andreas Noack§ , Maximilian Lam∗ , Jarrett Revels§ , Steve Howard¶ , Ryan Giordano¶ ,

Add to Reading List

Source URL: arxiv.org

Language: English - Date: 2018-01-31 20:18:17
2Haptic SLAM: an ideal observer model for Bayesian inference of object shape and hand pose from contact dynamics Feryal M. P. Behbahani1 , Guillem Singla–Buxarrais2 and A. Aldo Faisal1,2,3 1

Haptic SLAM: an ideal observer model for Bayesian inference of object shape and hand pose from contact dynamics Feryal M. P. Behbahani1 , Guillem Singla–Buxarrais2 and A. Aldo Faisal1,2,3 1

Add to Reading List

Source URL: spiral.imperial.ac.uk

Language: English - Date: 2016-09-08 00:46:08
3Improving the Identifiability of Neural Networks for Bayesian Inference Arya A. Pourzanjani∗, Richard M. Jiang∗, Linda R. Petzold Department of Computer Science University of California, Santa Barbara

Improving the Identifiability of Neural Networks for Bayesian Inference Arya A. Pourzanjani∗, Richard M. Jiang∗, Linda R. Petzold Department of Computer Science University of California, Santa Barbara

Add to Reading List

Source URL: bayesiandeeplearning.org

Language: English - Date: 2017-12-05 15:00:38
    4MAP estimate on GLMs  Stochastic Gradient Descent (SGD) MAP to Bayesian Inference

    MAP estimate on GLMs Stochastic Gradient Descent (SGD) MAP to Bayesian Inference

    Add to Reading List

    Source URL: emtiyaz.github.io

    - Date: 2018-08-03 01:10:16
      5Bayesian Analysis, Number 4, pp. 817–846 Inference of global clusters from locally distributed data

      Bayesian Analysis, Number 4, pp. 817–846 Inference of global clusters from locally distributed data

      Add to Reading List

      Source URL: dept.stat.lsa.umich.edu

      Language: English - Date: 2010-12-07 10:35:39
        6Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models Baback Moghaddam1, Benjamin M. Marlin2, Mohammad Emtiyaz Khan2 and Kevin P. Murphy2 1. Jet Propulsion Laboratory, California Insti

        Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models Baback Moghaddam1, Benjamin M. Marlin2, Mohammad Emtiyaz Khan2 and Kevin P. Murphy2 1. Jet Propulsion Laboratory, California Insti

        Add to Reading List

        Source URL: emtiyaz.github.io

        Language: English - Date: 2018-08-03 01:10:16
          7Inference and Attack in Bayesian Networks Sjoerd T. Timmer a John-Jules Ch. Meyer a  Silja Renooij a

          Inference and Attack in Bayesian Networks Sjoerd T. Timmer a John-Jules Ch. Meyer a Silja Renooij a

          Add to Reading List

          Source URL: www.ai.rug.nl

          Language: English - Date: 2013-10-07 10:58:19
            85 - Bayesian Inference IV - Hierarchical Models

            5 - Bayesian Inference IV - Hierarchical Models

            Add to Reading List

            Source URL: www.justinesarey.com

            Language: English - Date: 2018-05-19 15:02:55
              9Dpto. de Logica y Filosofia de la Ciencia, Valencia 2007 LECTURE 1 “INTRODUCTION TO BAYESIAN INFERENCE” Jan-Willem Romeijn, University of Groningen Email:  Web: http://www.philos.rug.nl/~romeyn 1. T

              Dpto. de Logica y Filosofia de la Ciencia, Valencia 2007 LECTURE 1 “INTRODUCTION TO BAYESIAN INFERENCE” Jan-Willem Romeijn, University of Groningen Email: Web: http://www.philos.rug.nl/~romeyn 1. T

              Add to Reading List

              Source URL: www.philos.rug.nl

              Language: English - Date: 2008-05-22 13:42:01
                10Bayesian Inference for the Normal Distribution 1. Posterior distribution with a sample size of 1 Eg. . is known. Suppose that we have an

                Bayesian Inference for the Normal Distribution 1. Posterior distribution with a sample size of 1 Eg. . is known. Suppose that we have an

                Add to Reading List

                Source URL: www.ams.sunysb.edu

                Language: English - Date: 2018-03-05 19:22:58