Pareto Front Modeling for Sensitivity Analysis in Multi-Objective Bayesian Optimization Roberto Calandra Jan Peters∗ Intelligent Autonomous Systems Lab

Source URL: www.ias.tu-darmstadt.de

1 Taking the Human Out of the Loop: A Review of Bayesian Optimization Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams and Nando de Freitas

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

arXiv:1511.05467v3 [stat.ML] 21 FebPredictive Entropy Search for Multi-objective Bayesian Optimization Jos´e Miguel Hern´andez-Lobato Harvard University

Source URL: arxiv.org

arXiv:1502.05312v2 [stat.ML] 15 JulPredictive Entropy Search for Bayesian Optimization with Unknown Constraints Jos´e Miguel Hern´andez-Lobato1 Harvard University, Cambridge, MAUSA

Source URL: arxiv.org

Batch Bayesian Optimization via Local Penalization Javier Gonz´ alez Zhenwen Dai Dept. of Computer Science Dept. of Computer Science

Source URL: jmlr.org

Warm Starting Bayesian Optimization∗ arXiv:1608.03585v1 [stat.ML] 11 Aug 2016 Matthias Poloczek, Jialei Wang, and Peter I. Frazier School of Operations Research and Information Engineering

Source URL: arxiv.org

Pareto Front Modeling for Sensitivity Analysis in Multi-Objective Bayesian Optimization Roberto Calandra Jan Peters∗ Intelligent Autonomous Systems Lab

Source URL: www.doc.ic.ac.uk

Bayesian Optimization using Student-t Processes Andrew Gordon Wilson Department of Engineering Cambridge University

Source URL: www.cs.cmu.edu

Noname manuscript No. (will be inserted by the editor) Bayesian Optimization for Learning Gaits under Uncertainty

Source URL: www.ausy.tu-darmstadt.de

Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies Stephen H. Bach Computer Science Dept. University of Maryland

Source URL: stephenbach.net

• Graphical models
• Mathematical analysis
• Mathematics
• Probability
• Mathematical optimization
• Operations research
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• Probability theory
• Markov random field
• Linear programming relaxation
• Relaxation
• Bayesian network