Cuch, you complain that there's not enough maths in ML. Is this paper sufficiently mathy for you?  https://arxiv.org/pdf/1908.10828.pdf I tried again to read this paper. Here is the Main Theorem , but I am afraid that an entire life would not be enough to understand it...I wonder if they are using ...

Cuch, you complain that there's not enough maths in ML. Is this paper sufficiently mathy for you?  https://arxiv.org/pdf/1908.10828.pdf I tried again to read this paper. Here is the Main Theorem , but I am afraid that an entire life would not be enough to understand it...I wonder if they are using ...

Thank you all, but I what I cannot understand is the real reason that Bellman equation is ususally solved by backwards. Can any one give an exmaple in which both intitial and terminal conditions are well defined, but the Bellman equation can only be solved by backwards? I think there are tons of ex...

Cuch, you complain that there's not enough maths in ML. Is this paper sufficiently mathy for you?  https://arxiv.org/pdf/1908.10828.pdf I tried again to read this paper. Here is the Main Theorem , but I am afraid that an entire life would not be enough to understand it...I wonder if they are using ...

Yes. dduffy AT datasim DOT nl

ok thanks

Sent !

Yes. dduffy AT datasim DOT nl

ok thanks

oh wait, a function you don't even know? We all know that it doesn't make sense. That's one possible weltanschauung , that does not produce interesting cases.  In mathematics, you scope the class of problems you want to model, e.g. Sobolev spaces, Fourier etc. and then investigate which activation ...

The mathematical precision in Cybenko 1988 has been superceded/improved on here http://www2.math.technion.ac.il/~pinkus/papers/acta.pdf In particular, Theorems 3.1, 4.1, 5.1, 6.2, 6.7,  Proposition 3.3.  Seems like ML' maths is stuck in the 80s. The mathematical subtleties surrounding activation fu...

Cuch, you complain that there's not enough maths in ML. Is this paper sufficiently mathy for you? https://arxiv.org/pdf/1908.10828.pdf

I don't buy this paper !! Try to read it, you will understand what I mean

JohnlL.eM, Adding to your list of questions, I wrote this a while back @Cuchullain, for me, Gradient Descent is a swiss-knife methods. Always produce results, but can be stuck in local minima. Local minima, if it is lucky, That's the least of your worries. GD has a whole lot of issues: Off the top ...

6.  but nobody can tell if the resulting algorithm is performant or not. Not sure if I completely agree --> cross-validation and 5-folds were used. I don't contest the numerical figures, you did a great job to guarantee them with this K-fold method, as well as teaching me the existence of this meth...

6.  but nobody can tell if the resulting algorithm is performant or not. Not sure if I completely agree --> cross-validation and 5-folds were used. I don't contest the numerical figures, you did a great job to guarantee them with this K-fold method, as well as teaching me the existence of this meth...

Cuchullain, Hello. I have read the first one,  Dalvir Mandara Artificial Neural Networks for Black-Scholes Option Pricing and Prediction of Implied Volatility for the SABR Stochastic Volatility Model First congratulations to the student and their supervisor, this is a nice work for a MsC. It is very...

Yes, I will post this thesis in a few days. And a number of your questions will hopefully be resolved, including some good tips from Itkin's paper. Regarding your remarks on error estimation, cross-validation is the way. The 1st student did BS/SABR and the other did BS/Heston (not public). You can ...

Hello,  I am not sure that this helps for pair-trading, but I did some related works in a more complex situation : find the best basket for Autocalls, based over some criteria as coupon values. You can have a look here for some resuts, where we tested any combinations of Autocalls written on any bas...