Bayesian inference: an introduction Peter Green School of Mathematics University of Bristol 8/9 SeptemberMLSS 2011, Bordeaux

Source URL: mlss11.bordeaux.inria.fr

Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach Shuo Yang Tushar Khot

Source URL: ai2-website.s3.amazonaws.com

• Markov models
• Relational model
• Machine learning
• Probability distribution
• Bayesian network
• Reinforcement learning
• Relational data mining
• Loss function

Bayesian Monte Carlo Carl Edward Rasmussen and Zoubin Ghahramani Gatsby Computational Neuroscience Unit University College London 17 Queen Square, London WC1N 3AR, England

Source URL: mlg.eng.cam.ac.uk

Bayesian Network Inference Approach to probe Foodweb interactions between herring and zooplankton in the Irish Sea

Source URL: ndmitchell.com

• Software engineering
• Computer programming
• Declarative programming
• Literate programming
• Functional programming
• Monad
• Haskell
• Inline expansion
• First-order logic

A SCALABLE QUASI-BAYESIAN FRAMEWORK FOR GAUSSIAN GRAPHICAL MODELS ´ YVES F. ATCHADE (Dec. 2015)

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

Total Variation Super Resolution Using A Variational Approach

Source URL: decsai.ugr.es

• Statistics
• Mathematical analysis
• Probability distributions
• Probability
• Bayesian statistics
• Image processing
• Gamma distribution
• NC
• Variational Bayesian methods
• Hyperprior
• Bicubic interpolation
• Constructible universe

FEM-Based Discretization-Invariant MCMC Methods for PDE-constrained Bayesian Inverse Problems Tan Bui-Thanh Department of Aerospace Engineering and Engineering Mechanics Institute for Computational Engineering & Sciences

Source URL: users.ices.utexas.edu

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Millimeter wave communications channel estimation via Bayesian group sparse recovery Suryaprakash, R.T.; Pajovic, M.; Kim, K.J.; Orlik, P.V.

Source URL: www.merl.com

A Markov Model of Machine Translation using Non-parametric Bayesian Inference Yang Feng and Trevor Cohn Department of Computer Science The University of Sheffield Sheffield, United Kingdom

Source URL: anthology.aclweb.org

Rational Randomness: The role of sampling in an algorithmic account of preschooler’s causal learning Bonawitz, E., Gopnik, A., Denison, S., Griffiths, T. L. University of California, Berkeley; Berkeley, CA 94720

Source URL: ccdlab.rutgers.edu

• Statistics
• Philosophy
• Logic
• Statistical inference
• Philosophy of science
• Statistical theory
• Reasoning
• Bayesian inference
• Statistical forecasting
• Bayesian network
• Bayesian statistics
• Inductive reasoning