baothienpp

That sounds interesting though, cause I tried the implementation from the paper. It took a lot of computational power because of Monte Carlo calculation. I am trying to understand your...

May i ask you why you don't fit a polynomial instead of linear ? Do you think we could use Gaussian Process with square exponential to model the learn curve...

Hi I think I figured out why you don't use polynomial because you fit a linear on a set of learning curves ( multivariables regression). At first, I understood that...

Thanks for those examples, really help. I am thinking about using Bayesian linear regression (blr) instead of simple linear regression. blr output will be a normal distribution, we could use...

Hi Maxim, short unrelated question : If i want to use your idea in some of my work, how can i cite you ?

Thanks ! Unfortunately it is something for work so i can't public :( , but don't worry i cited you. It seems like your framework can only handle single GPU,...

So i did build a new model using your idea. I used Bayesian ridge regression. Basically, in Linear Regression you minimize the MSE error and in Ridge Regression you minimize...

I am currently a bit busy, but i will soon upload a short code to describe how i did it because i implemented it different from your interface. Another question,...

So i am gonna briefly describe my method. I used scikit-learn to implement BRR ( http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html#sklearn.linear_model.BayesianRidge). It has 2 method fit() and predict() , it is important to set the...

Yes i used the curves in your json file