Re: [Computer-go] Efficient Parameter Tuning Software
Hi Chaz, Thanks, for handling continuous parameters the approach we have in mind is to sample continuous values but then do some adaptive binning to reason about specific combinations of them – there are some details to be worked out though. Simon From: "Chaz G." Date: Monday, 14 January 2019 at 19:20 To: "computer-go@computer-go.org" Cc: Simon Lucas Subject: Re: [Computer-go] Efficient Parameter Tuning Software Hi Simon, Thanks for sharing. In my opinion, apart from discretizing the search space, the N-Tuple system takes a very intuitive approach to hyper-parameter optimization. The github repo readme notes you're working on an extended version to handle continuous parameters, what's your general approach to that issue? Thanks, -Chaz On Sun, Jan 13, 2019 at 11:51 AM Simon Lucas mailto:simon.lu...@qmul.ac.uk>> wrote: Hi all, The N-Tuple Bandit Evolutionary Algorithm aims to provide sample-efficient optimisation, especially for noisy problems. Software available in Java and Python: https://github.com/SimonLucas/ntbea It also provides stats on the value of each parameter setting and combinations of settings. Best wishes, Simon -- Simon Lucas Professor of Artificial Intelligence Head of School Electronic Engineering and Computer Science Queen Mary University of London ___ Computer-go mailing list Computer-go@computer-go.org<mailto:Computer-go@computer-go.org> http://computer-go.org/mailman/listinfo/computer-go ___ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
Re: [Computer-go] Efficient Parameter Tuning Software
Hi Simon, Thanks for sharing. In my opinion, apart from discretizing the search space, the N-Tuple system takes a very intuitive approach to hyper-parameter optimization. The github repo readme notes you're working on an extended version to handle continuous parameters, what's your general approach to that issue? Thanks, -Chaz On Sun, Jan 13, 2019 at 11:51 AM Simon Lucas wrote: > Hi all, > > > > The N-Tuple Bandit Evolutionary Algorithm aims > > to provide sample-efficient optimisation, especially > > for noisy problems. > > > > Software available in Java and Python: > > > > https://github.com/SimonLucas/ntbea > > > > It also provides stats on the value of each parameter setting > > and combinations of settings. > > > > Best wishes, > > > > Simon > > > > > > -- > > Simon Lucas > > Professor of Artificial Intelligence > > Head of School > > Electronic Engineering and Computer Science > > Queen Mary University of London > > > > > > > ___ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go ___ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
[Computer-go] Efficient Parameter Tuning Software
Hi all, The N-Tuple Bandit Evolutionary Algorithm aims to provide sample-efficient optimisation, especially for noisy problems. Software available in Java and Python: https://github.com/SimonLucas/ntbea It also provides stats on the value of each parameter setting and combinations of settings. Best wishes, Simon -- Simon Lucas Professor of Artificial Intelligence Head of School Electronic Engineering and Computer Science Queen Mary University of London ___ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
