Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation James Foulds Levi Boyles

Source URL: www.ics.uci.edu

• Expectation–maximization algorithm
• Variational Bayesian methods
• Topic model
• Algorithm
• Gibbs sampling
• Natural language processing
• Dirichlet process
• Mathematical optimization
• Dynamic topic model
• Statistics
• Statistical natural language processing
• Latent Dirichlet allocation

A STUDY INTO THE EFFECT OF DIFFERENT FORMULATIONS OF THE METROPOLIS-HASTINGS ALGORITHM IN ESTIMATING MODEL PARAMETERS AND ERRORS Edmund Ryan*, Mat Williams**, Shaun Quegan* *Department of Applied Mathematics, University

Source URL: www.nceo.ac.uk

• Mathematics
• Mathematical optimization
• Bayesian statistics
• Algorithm
• Mathematical logic
• Theoretical computer science
• Genetic algorithm
• Estimation theory
• Credible interval
• Statistics
• Statistical inference
• Applied mathematics

Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction Yuting Zhang*† , Kihyuk Sohn† , Ruben Villegas† , Gang Pan* , Honglak Lee† * Department of Computer

Source URL: web.eecs.umich.edu

Towards Bayesian Grasp Optimization with Wrench Space Analysis Filipe Veiga1 and Alexandre Bernardino1 Grasp planning and optimization have been hot topics in the last decade. Due to the complexity of generating good gra

Source URL: www.poeticon.eu

• Robot
• Motion planning
• ROS
• Robotics
• OpenRAVE
• Humanoid robot

Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Department of Computer Science University of Toronto

Source URL: papers.nips.cc

• Markov models
• Computational statistics
• Statistical theory
• Variational Bayesian methods
• Hyperparameter
• Bayesian inference
• Markov chain Monte Carlo
• Surrogate model
• Estimation theory
• Statistics
• Bayesian statistics
• Statistical inference

Parallel Data Mining of Bayesian Networks from Gene Expression Data Longde Yin 1, Chun-Hsi Huang2, Sanguthevar Rajasekaran3 Keywords : Gene Regulatory Networks, Genetic algorithm, Parallel Data Mining DNA microarrays all

Source URL: www.cse.uconn.edu

• Gene expression
• Applied mathematics
• Mathematical optimization
• Search algorithms
• Statistical models
• Genetic algorithm
• Bayesian network
• Gene regulatory network
• Nir Friedman
• Science
• Biology
• Networks

Advances in Bayesian Network Learning using Integer Programming Mark Barlett Dept of Computer Science & York Centre for Complex Systems Analysis University of York, UK

Source URL: www.cs.york.ac.uk

• Mathematics
• Linear programming
• Constraint programming
• Convex optimization
• Combinatorial optimization
• Linear programming relaxation
• Cutting-plane method
• Bayesian network
• SCIP
• Mathematical optimization
• Operations research
• Applied mathematics

Bayesian network learning with cutting planes James Cussens Dept of Computer Science & York Centre for Complex Systems Analysis University of York, Deramore Lane, York, YO10 5GH, UK

Source URL: dslpitt.org

• Mathematics
• Combinatorial optimization
• Cutting-plane method
• Numerical software
• Linear programming relaxation
• SCIP
• Bayesian network
• Linear programming
• Mathematical optimization
• Operations research
• Numerical analysis

 Advances  in  Combinatorial  Op4miza4on   Tasks  over  Graphical  Models     Rina  Dechter  

Source URL: www.ics.uci.edu

• Theoretical computer science
• Bayesian statistics
• Statistical models
• Applied mathematics
• Probability and statistics
• Markov random field
• Bayesian network
• Mathematical optimization
• Constraint satisfaction problem
• Graphical models
• Networks
• Statistics

PDF Document

Source URL: www.econ.tohoku.ac.jp

• Game theory
• General equilibrium theory
• Econometrics
• Bayesian inference
• Macroeconomic model
• Time series
• Mathematical optimization
• Jacques Drèze
• Statistics
• Economics
• Bayesian statistics