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Bayesian optimization
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101	Fully Automatic Variational Inference of Differentiable Probability Models Rajesh Ranganath Department of Computer Science Princeton University Add to Reading List Source URL: andrewgelman.com Language: English - Date: 2014-12-21 20:40:21 Econometrics Estimation theory Variational Bayesian methods Bayesian linear regression Multivariate normal distribution Linear regression Mathematical optimization Expectation–maximization algorithm Variational message passing Statistics Bayesian statistics Regression analysis
102	Microsoft Word - ICOSSAR2013_Papadimitriou.doc Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2013-11-12 04:25:13 Design of experiments Numerical analysis Surrogate model Kriging Markov chain Monte Carlo Bayesian inference Normal distribution CMA-ES Mathematical optimization Statistics Bayesian statistics Statistical theory
103	Journal of Computational Physics[removed]–21 Contents lists available at ScienceDirect Journal of Computational Physics www.elsevier.com/locate/jcp Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2015-01-02 06:12:07 Statistical theory Bayesian statistics Probability theory Mathematical optimization Operations research Markov chain Monte Carlo Bayesian inference Monte Carlo method Bayes factor Statistics Probability and statistics Estimation theory
104	ASSOCIATION OF SHORT-ARC OPTICAL TRACKS VIA THE DIRECT BAYESIAN ADMISSIBLE REGION: THEORY AND APPLICATION Kohei Fujimoto(1) , Daniel J. Scheeres(1) , Johannes Herzog(2) , and Thomas Schildknecht[removed]The University of Add to Reading List Source URL: aiuws.unibe.ch Language: English - Date: 2014-01-30 10:28:10 Least squares Mathematical optimization Dynamical system Orbit Bayesian inference Space debris Statistics Regression analysis Bayesian statistics
105	Chapter 4 BAYESIAN F-OPTIMAL DESIGNS §4.1 Introduction The general need for Bayesian optimal designs was motivated in Chapter 3. However, Chapter 3 Add to Reading List Source URL: scholar.lib.vt.edu Language: English - Date: 1998-11-04 14:05:09 Operations research Industrial engineering Statistical methods Optimal design Fisher information Mathematical optimization Pareto efficiency Control theory Efficiency Statistics Statistical theory Design of experiments
106	Chapter 6 MODEL ROBUST BAYESIAN DESIGNS §6.1 Motivation Three popular models used in toxicity studies include the Poisson exponential model, the Poisson Add to Reading List Source URL: scholar.lib.vt.edu Language: English - Date: 1998-11-04 14:05:10 Bayesian statistics Regression analysis Optimal design Quality Robust Bayes analysis Bayesian probability Mathematical optimization Statistics Statistical theory Operations research
107	Chapter 3 BAYESIAN D-OPTIMAL DESIGNS §3.1 Motivation Optimal designs for impaired reproduction studies are typically listed in the form of effective Add to Reading List Source URL: scholar.lib.vt.edu Language: English - Date: 1998-11-04 14:05:09 Statistical theory Model selection Statistical methods Optimal design Fisher information Akaike information criterion Mathematical optimization Statistics Design of experiments Operations research
108	Selecting Strategies for Infinite-Horizon Dynamic LIMIDs Marcel A.J. van Gerven Institute for Computing and Information Sciences Radboud University Nijmegen Toernooiveld[removed]ED Nijmegen, The Netherlands Add to Reading List Source URL: www.utia.cas.cz Language: English - Date: 2008-12-17 13:50:27 Mathematical optimization Equations Dynamic programming Operations research Optimal control Markov decision process Bayesian network Variable Bellman equation Statistics Mathematics Control theory
109	Graphical Models and What They Reveal about GP Erik Hemberg (NCRA, UCD CASL), Kalyan Veeramachaneni (EvoDesignOpt), Una-May O’Reilly (EvoDesignOpt)! Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2012-07-12 23:50:18 Graphical models Networks Operations research Bayesian network Probability and statistics Mathematical optimization Bayesian statistics Statistical models Statistics
110	Novel, Multidisciplinary Global Optimization under Uncertainty Investigators: Aditya Saraf (PI), Katy Griffin (Co-I), Krishnakumar Ramamoorthy (Co-I): Saab Sensis Corporation; Bruce Sawhill (Co-I), James Herriot (Other P Add to Reading List Source URL: nari.arc.nasa.gov Language: English - Date: 2014-11-26 14:05:25 Aerospace Robust optimization Trajectory optimization Bayesian network Sensis Corporation Probability and statistics Mathematical optimization Operations research Statistics

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