For the concepts, in general I think most of the stuff has been quite well written and it's really nice to have links to other resources
Single- vs. Multi-Objective Optimization
in the 2nd paragraph, I think it might be better to explain what is meant by "optimal"; I understood it as the input values that bring you closer to the goal but at first when I read it it wasn't clear to me
Frequentist Vs. Fully Bayesian Gaussian Process Models
in addition to the figure explaining the effect of length scale , it would be nice to also have a figure on the effect of output scale
would be nice to have an explanation of what "maximum a posteriori" means in addition to what it does in practice
under "Fully Bayesian GP Fitting", "tries of" in the 1st paragraph should be "tries to", and "the details of which" should be preceded by a comma (sry just a small grammar thing)
Single vs. Batch Optimization
for the 2nd figure, it helps me understand the earlier statement "expected value of the portion of the distribution outside of the best observed value relative to the optimization objective", but I think it might be a bit confusing to call the "best observed value relative to the optimization objective" y_max; also, for the black distribution, is it meant to be the distribution of points vertically below x_new, given by the light blue region? if so maybe it might be nice to change the colour of the curve to light blue as well; additionally, I think it would also be nice to add some annotation to the figure
Multitask Bayesian Optimization
not much here, most of it was quite clear
For the tutorials, I was only able to go through the 1st one (which was pretty straighforward) before I ran into the problem above; once that gets fixed I can go ahead and try the rest and if there's anything that comes to mind I can update my feedback here
extra: on the homepage under "if you're new to Bayesian optimization" maybe some links to videos by 3blue1brown would also be useful?
For the concepts, in general I think most of the stuff has been quite well written and it's really nice to have links to other resources
Single- vs. Multi-Objective Optimization
Frequentist Vs. Fully Bayesian Gaussian Process Models
in addition to the figure explaining the effect of length scale , it would be nice to also have a figure on the effect of output scale
would be nice to have an explanation of what "maximum a posteriori" means in addition to what it does in practice
under "Fully Bayesian GP Fitting", "tries of" in the 1st paragraph should be "tries to", and "the details of which" should be preceded by a comma (sry just a small grammar thing)
Single vs. Batch Optimization
Multitask Bayesian Optimization
For the tutorials, I was only able to go through the 1st one (which was pretty straighforward) before I ran into the problem above; once that gets fixed I can go ahead and try the rest and if there's anything that comes to mind I can update my feedback here
extra: on the homepage under "if you're new to Bayesian optimization" maybe some links to videos by 3blue1brown would also be useful?