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Bayesian programming
Results: 114

#	Item
51	Bayesian Sparse Sampling for On-line Reward Optimization Tao Wang TRYSI @ CS . UALBERTA . CA Daniel Lizotte DLIZOTTE @ CS . UALBERTA . CA Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-17 16:12:19 Markov processes Stochastic control Statistical inference Partially observable Markov decision process Bayesian inference Thompson sampling Markov decision process Reinforcement learning Machine learning Statistics Dynamic programming Bayesian statistics
52	Part A Simulation and Statistical Programming HT 2015 Problem Sheet 3 due Week 7 Tuesday 10am 1. (a) Give a Metropolis-Hastings algorithm to sample according to the Gamma probability density function, p(x) ∝ xα−1 ex Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-02-23 13:52:48 Computational statistics Probability and statistics Markov models Markov processes Metropolis–Hastings algorithm Markov chain Gibbs sampling Itō diffusion Bayesian inference in phylogeny Statistics Monte Carlo methods Markov chain Monte Carlo
53	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: www.jair.org Language: English - Date: 2011-09-06 21:29:44 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
54	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: www.jair.org Language: English - Date: 2011-09-06 21:32:01 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
55	Journal of Artificial Intelligence Research883 Submitted 06/13; publishedScalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2013-11-28 14:07:54 Markov models Dynamic programming Markov processes Stochastic control Reinforcement learning Markov decision process Monte Carlo method Markov chain Monte Carlo Graphical model Statistics Probability and statistics Bayesian statistics
56	Monolingual Probabilistic Programming Using Generalized Coroutines Oleg Kiselyov FNMOC Monterey, CA 93943 Add to Reading List Source URL: okmij.org Language: English - Date: 2009-05-31 04:24:02 Statistical inference OCaml Bayesian inference Inference Bayesian network Importance sampling Probability Statistics Bayesian statistics Statistical theory
57	Embedded Probabilistic Programming? Oleg Kiselyov1 and Chung-chieh Shan2 1 2 Add to Reading List Source URL: okmij.org Language: English - Date: 2009-03-22 23:26:33 Probability and statistics Bayesian statistics Statistical models OCaml Bayesian network PP Importance sampling Probability Inference Statistics Logic Theoretical computer science
58	Selected Publications: Monographs: Sequential Control with Incomplete Information: The Bayesian Approach to Many-Armed Bandit Problems, Academic Press, 1990, 266 p., English translation of: Moscow, Nauka, 1982, 256 p., ( Add to Reading List Source URL: mse-msu.ru Language: English - Date: 2011-04-18 03:41:09 Stochastic optimization Dynamic programming Albert Shiryaev Stochastic Optimal control Multi-armed bandit Optimal stopping Mathematical finance Applied mathematics Statistics Mathematical optimization Operations research
59	Project forFocused on Lifted Inference and on Probabilistic Programming languages --------------------------------------------------------------------------- Project reports requirements: 2014 Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-11-07 17:37:26 Statistical relational learning Markov logic network Bayesian network Bayesian inference Logic programming Graphical model Machine learning Statistics Bayesian statistics Statistical models
60	Probabilistic Programming with Figaro Tutorial Avi Pfeffer, Brian Ruttenberg Charles River Analytics, Cambridge, MA 1) Overview and introductionmins) Add to Reading List Source URL: www.cra.com Language: English - Date: 2015-01-19 09:19:44 Probability and statistics Graph theory Networks Statistical models Probability theory Bayesian network Markov random field Factor graph Hidden Markov model Statistics Graphical models Bayesian statistics

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