scientific article; zbMATH DE number 7307467

MaRDI QIDQ5149224

Oleg Arenz, Mingjun Zhong, Gerhard Neumann

Publication date: 8 February 2021

Full work available at URL: https://arxiv.org/abs/1907.04710

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

samplingMarkov chain Monte Carloapproximate inferenceMCMCvariational inferencepolicy search

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml
• TensorFlow
• GitHub
• NICE
• FFJORD
• Glow
• MADE
• pyhmc
• NUTS

Cites Work

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• The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
• Fixed-form variational posterior approximation through stochastic linear regression
• Estimating Bayes factors via thermodynamic integration and population MCMC
• Langevin diffusions and Metropolis-Hastings algorithms
• Slice sampling. (With discussions and rejoinder)
• Simple statistical gradient-following algorithms for connectionist reinforcement learning
• Sequential Imputations and Bayesian Missing Data Problems
• A Limited Memory Algorithm for Bound Constrained Optimization

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