René's URL Explorer Experiment

Title: tutorial slides

Domain: machine-learning-tutorial.github.io

None	chrome=1
apple-mobile-web-app-capable	yes
apple-mobile-web-app-status-bar-style	black-translucent

Links:

¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Get-the-repository-with-Git
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Git-installation-in-mac
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Git-installation-in-linux
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Download-the-repository
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Install-dependencies
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Using-conda
described here	https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Install-dependencies
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Using-venv-only
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Running-the-tutorial
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Imports-and-modules
Part I: Bayesian Optimization Theory	http://localhost:8888/notebooks/lecture.ipynb#Part-I:-Bayesian-Optimization-Theory
Part II: Bayesian Optimization Algorithm implementation	http://localhost:8888/notebooks/lecture.ipynb#Part-II:-Bayesian-Optimization-Algorithm-Implementation
Part III: Bayesian Optimization for Beam Positioning and Focusing in a Linac	http://localhost:8888/notebooks/lecture.ipynb#Part-III:-Bayesian-Optimization-for-Beam-Positioning-and-Focusing-in-a-Linac
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#What-is-Bayesian-optimization?
Bayesian optimization and other search algorithms	https://engineering.rappi.com/bayesian-optimization-how-to-calibrate-the-hyper-parameters-of-computing-expensive-models-c3ca54b39dbb![image-4.png](attachment:image-4.png)
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#What-is-Bayesian-optimization?
Bayes' Rule – Explained For Beginners	https://www.freecodecamp.org/news/bayes-rule-explained/
Bayes’ theorem	https://www.gaussianwaves.com/2021/04/bayes-theorem/
here	http://localhost:8892/notebooks/lecture.ipynb#Gaussian-Process-(GP)
here	http://localhost:8892/notebooks/lecture.ipynb#Acquisition-function)
here	https://en.wikipedia.org/wiki/Gaussian_process#Usual_covariance_functions
here	https://gowrishankar.info/blog/why-covariance-matrix-should-be-positive-semi-definite-tests-using-breast-cancer-dataset/
BoTorch	https://botorch.org/
PyTorch	https://pytorch.org/
tensor	https://pytorch.org/docs/stable/tensors.html#:~:text=A%20torch.,of%20a%20single%20data%20type.
Working with PyTorch tensors	https://towardsai.net/p/deep-learning/working-with-pytorch-tensors
GPyTorch documentation	https://docs.gpytorch.ai/en/v1.6.0/kernels.html
fit_gpytorch_mll	https://botorch.org/api/fit.html#botorch.fit
documentation	https://botorch.org/api/acquisition.html
OpenAI Gym	https://github.com/openai/gym
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Summary
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Literature
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Publication:-Various-applications-of-BO-in-accelerator-physics
Bayesian Optimization Algorithms for Accelerator Physics	https://arxiv.org/pdf/2312.05667.pdf
Bayesian Optimization of the Beam Injection Process into a Storage Ring	https://arxiv.org/abs/2211.09504
Bayesian optimization of FEL performance at LCLS	https://accelconf.web.cern.ch/ipac2016/doi/JACoW-IPAC2016-WEPOW055.html
Bayesian Optimization of a Free-Electron Laser	https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.124.124801
Bayesian Optimization of a Laser-Plasma Accelerator	https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.104801
Automation and control of laser wakefield accelerators using Bayesian optimization	https://www.nature.com/articles/s41467-020-20245-6
Tuning particle accelerators with safety constraints using Bayesian optimization	https://doi.org/10.1103/PhysRevAccelBeams.25.062802
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces	https://arxiv.org/abs/1902.03229
Multiobjective Bayesian optimization for online accelerator tuning	https://journals.aps.org/prab/abstract/10.1103/PhysRevAccelBeams.24.062801
Turn-key constrained parameter space exploration for particle accelerators using Bayesian active learning	https://www.nature.com/articles/s41467-021-25757-3
Differentiable Preisach Modeling for Characterization and Optimization of Particle Accelerator Systems with Hysteresis	https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.128.204801
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Books-and-papers-on-Bayesian-optimization-in-general
Gaussian Processes for Machine Learning	https://gaussianprocess.org/gpml/
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning	https://arxiv.org/abs/1012.2599
A Tutorial on Bayesian Optimization	https://arxiv.org/abs/1807.02811
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Bayesian-Optimization-/-Gaussian-Process-packages-in-python
scikit-learn Gaussian processes	https://scikit-learn.org/stable/modules/gaussian_process.html
GPyTorch	https://gpytorch.ai/
BOTorch	https://botorch.org/
GPflow	https://www.gpflow.org/
Trieste	https://secondmind-labs.github.io/trieste
GPy	http://sheffieldml.github.io/GPy/
GPyOpt	https://github.com/SheffieldML/GPyOpt
wikipedia page	https://en.wikipedia.org/wiki/Comparison_of_Gaussian_process_software#Comparison_table
¶	https://machine-learning-tutorial.github.io/bayesian-optimization/#Other-Resources
2022 MT ARD ST3 ML Workshop	https://github.com/ansantam/2022-MT-ARD-ST3-ML-workshop

URLs of crawlers that visited me.