1 A short introduction to information theory and Bayesian Model Averaging Olivier Catoni March 22, 2012

Source URL: www.math.ens.fr

Bayesian A/B Testing at VWO Chris Stucchio Visual Website Optimizer September 2, 2015 Abstract Before joining Visual Website Optimizer, I ran A/B testing at AOL

Source URL: cdn2.hubspot.net

Sparse Linear Models: Estimation and Approximate Bayesian Inference Matthias Seeger Laboratory for Probabilistic Machine Learning Ecole Polytechnique Fédérale de Lausanne

Source URL: mlss.tuebingen.mpg.de

Multidimensional covariate dependent Dirichlet process Bayesian nonparametrics Julyan Arbel CREST-INSEE, Universite´ Paris Dauphine

Source URL: www.agroparistech.fr

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING Int.J.Adapt.Control Signal Process. 2003; 17:1–16 Bayesian Regression and Classification Using Mixtures of Gaussian Processes J.Q. Shi,1 2 R. Murray-Smit

Source URL: www.dcs.gla.ac.uk

Dynamic Bayesian Combination of Multiple Imperfect Classifiers Edwin Simpson1 , Stephen Roberts1 , Ioannis Psorakis1 , Arfon Smith2 1. Department of Engineering Science, University of Oxford, UK. Emails: {edwin, sjrob, p

Source URL: www.orchid.ac.uk

RTGDiscrete stochastic optimization with continuous auxiliary variables Rodolphe Le Riche* (speaker), Alexis Lasseigne**, François-Xavier Irisarri** * CNRS LIMOS and Ecole des Mines de St-Etienne, France ** ONERA

Source URL: grk1855.tu-dortmund.de

• Mathematical optimization
• Statistics
• Mathematical analysis
• Numerical analysis
• Stochastic optimization
• Estimation theory
• Probability theory
• Simulated annealing
• Loss function
• Bayesian optimization
• Global optimization

Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling Ramses Mena, Matteo Ruggiero ∗ and Stephen G. Walker UNAM, University of Pavia and University of Kent Abstract We propose a new cla

Source URL: www.matteoruggiero.it

Downloaded from http://rsta.royalsocietypublishing.org/ on December 28, 2015 rsta.royalsocietypublishing.org A hierarchical Bayesian framework for force field

Source URL: www.cse-lab.ethz.ch

• Statistics
• Statistical theory
• Statistical models
• Estimation theory
• Bayesian network
• Networks
• Bayesian inference
• Linear regression
• Marginal likelihood

Bayesian Active Model Selection with an Application to Automated Audiometry Jacob R. Gardner CS, Cornell University Ithaca, NY 14850

Source URL: stat.columbia.edu