mikediessner
Third-Year PhD Candidate in Computing at Newcastle University.
Newcastle UniversityNewcastle upon Tyne, United Kingdom
Pinned Repositories
benchfuncs
Benchmark functions to test optimisation algorithms.
environmental-conditions-BO
Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in review.
investigating-BO
Data associated with the paper "Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics" published in Frontiers in Applied Mathematics and Statistics.
mikediessner
GitHub profile front page.
mikediessner.github.io
Personal website.
nubo
NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynamics Lab at Newcastle University.
pystan
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
simplelhs
Simple implementation of Latin Hypercube Sampling.
pystan
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
mikediessner's Repositories
mikediessner/nubo
NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynamics Lab at Newcastle University.
mikediessner/simplelhs
Simple implementation of Latin Hypercube Sampling.
mikediessner/benchfuncs
Benchmark functions to test optimisation algorithms.
mikediessner/environmental-conditions-BO
Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in review.
mikediessner/mikediessner
GitHub profile front page.
mikediessner/mikediessner.github.io
Personal website.
mikediessner/investigating-BO
Data associated with the paper "Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics" published in Frontiers in Applied Mathematics and Statistics.
mikediessner/pystan
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io