BayesOpt discussion

Contact owners and managers

1–28 of 28

Welcome to the discussion list for the BayesOpt library: an efficient, C++ implementation of several Bayesian optimization

algorithms.

The release code of the library can be found at:

http://bitbucket.org/rmcantin/bayesopt

mirrors:

https://github.com/rmcantin/bayesopt

http://mloss.org/software/view/453/

Do not hesitate to post any comment or suggestion.

Web interface requires a google account. If you want to use any other email account, you can use the email interface:

To post to this group, send email to bayesopt-discussion@googlegroups.com (subscription is needed)

To subscribe to this group, send email to bayesopt-discussion+subscribe@googlegroups.com (you will get a confirmation email that you should reply)

To unsubscribe from this group, send email to bayesopt-discussion+unsubscribe@googlegroups.com

In order to avoid spam, the first message of new users will be moderated (it might take a while to publish).

Ruben

0 selected

양석우, Ruben Martinez-Cantin2

5/20/20

Is there limitation on dimension of problem?

For 32 dimensional problems, BayesOpt should still work fine. Ruben On Tue, May 19, 2020 at 1:27 PM

unread,

Is there limitation on dimension of problem?

For 32 dimensional problems, BayesOpt should still work fine. Ruben On Tue, May 19, 2020 at 1:27 PM

5/20/20

Andrea Scaglioni, Ruben Martinez-Cantin2

5/21/18

Termination criteria

Hi Andrea, If you are using the C++ interface you can run the optimization loop step by step. You can

unread,

Termination criteria

Hi Andrea, If you are using the C++ interface you can run the optimization loop step by step. You can

5/21/18

fatemeh amrollahi, … Ruben Martinez-Cantin7

5/21/18

instilling problems

Have you tried checking the multiple Python versions issue? https://rmcantin.bitbucket.io/html/

unread,

instilling problems

Have you tried checking the multiple Python versions issue? https://rmcantin.bitbucket.io/html/

5/21/18

Zhaozhong Chen

12/10/17

How to set the bound when use boost::scoped_ptr

Hi I am trying to figure out how the set the lower and upper bound in the example bo_display.cpp I

unread,

How to set the bound when use boost::scoped_ptr

Hi I am trying to figure out how the set the lower and upper bound in the example bo_display.cpp I

12/10/17

zhch...@colorado.edu, … Kun Kuang5

12/9/17

cannot compile c++ code using this library

And if you cannot find header file in "include", it should be in "utils" On

unread,

cannot compile c++ code using this library

And if you cannot find header file in "include", it should be in "utils" On

12/9/17

Kun Kuang, Ruben Martinez-Cantin2

10/22/17

How to import bayesopt if I installed the package in a different path

Hi, You should configure PYTHONPATH in your system to include /mypath. If you want to have a local

unread,

How to import bayesopt if I installed the package in a different path

Hi, You should configure PYTHONPATH in your system to include /mypath. If you want to have a local

10/22/17

jmar...@gmail.com, Ruben Martinez-Cantin4

10/20/17

Repeatedly querying the same point?

That's the way Bayesian optimization works. You just need some other point to change the shape of

unread,

Repeatedly querying the same point?

That's the way Bayesian optimization works. You just need some other point to change the shape of

10/20/17

Ruben Martinez-Cantin

10/9/17

NIPS 2017 Workshop on Bayesian optimization for science and engineering (BayesOpt)

### Call for papers NIPS 2017 Workshop BayesOpt 2017 Saturday, December 9, 2017 Long Beach Convention

unread,

NIPS 2017 Workshop on Bayesian optimization for science and engineering (BayesOpt)

### Call for papers NIPS 2017 Workshop BayesOpt 2017 Saturday, December 9, 2017 Long Beach Convention

10/9/17

zhch...@colorado.edu, Ruben Martinez-Cantin2

6/30/17

basic question about bayes library

You don't need to know the "shape" of the function, but you need to be able to "

unread,

basic question about bayes library

You don't need to know the "shape" of the function, but you need to be able to "

6/30/17

Ruta Desai, Ruben Martinez-Cantin3

6/30/17

Obtaining a distribution over possible minima of a function

Hi Ruta, The Thompson sampling criteria in the library is not a proper Thompson sampling. In BayesOpt

unread,

Obtaining a distribution over possible minima of a function

Hi Ruta, The Thompson sampling criteria in the library is not a proper Thompson sampling. In BayesOpt

6/30/17

babelpro...@gmail.com, Ruben Martinez-Cantin3

3/10/17

How to use bayesoptdisc function

Hi, Thanks for the quick reply. Just one more quick question then - since I will have to explicitly

unread,

How to use bayesoptdisc function

Hi, Thanks for the quick reply. Just one more quick question then - since I will have to explicitly

3/10/17

Mohammad Hossain Namaki, Ruben Martinez-Cantin2

9/10/16

Default Acquisition and Surrogate function in BayesOpt

All default parameters are defined in src/parameters.cpp The acquisition is Expected Improvement.

unread,

Default Acquisition and Surrogate function in BayesOpt

All default parameters are defined in src/parameters.cpp The acquisition is Expected Improvement.

9/10/16

Ruben Martinez-Cantin

7/11/16

PhD position in Machine Learning/Computer Vision for wearables at Zaragoza, Spain

Sorry for the off-topic, but if anyone wants to do a PhD based on BayesOpt (among other things), we

unread,

PhD position in Machine Learning/Computer Vision for wearables at Zaragoza, Spain

Sorry for the off-topic, but if anyone wants to do a PhD based on BayesOpt (among other things), we

7/11/16

wqi, Ruben Martinez-Cantin2

7/11/16

BayeOpt stuck at local optima

Hi, The exploration/exploitation tuning can be problematic for some functions. That's why

unread,

BayeOpt stuck at local optima

Hi, The exploration/exploitation tuning can be problematic for some functions. That's why

7/11/16

BayesOpt discussion

5/29/16

Treat eahe iteration as a certain time step in Bayesian Optimization?!

Hi! Would it be possible to treat each iteration of Bayesian Optimization as a time step? In other

unread,

Treat eahe iteration as a certain time step in Bayesian Optimization?!

Hi! Would it be possible to treat each iteration of Bayesian Optimization as a time step? In other

5/29/16

DevShark

5/13/16

having twice the same initial point changes the result

For testing, I compare what happens when I include twice the same point in the initialization phase.

unread,

having twice the same initial point changes the result

For testing, I compare what happens when I include twice the same point in the initialization phase.

5/13/16

DevShark, Ruben Martinez-Cantin6

5/13/16

Q&A

How Can I force points to be explored?

Thanks for your response. There is some precision issue. If I run an optimization, in mode "save

unread,

Q&A

How Can I force points to be explored?

Thanks for your response. There is some precision issue. If I run an optimization, in mode "save

5/13/16

DevShark, Ruben Martinez-Cantin6

5/12/16

Please help with segmentation fault issue

To clarify my previous message, that's how I fixed my problem, and I unfortunately did not keep

unread,

Please help with segmentation fault issue

To clarify my previous message, that's how I fixed my problem, and I unfortunately did not keep

5/12/16

Mohammad Hossain Namaki, Ruben Martinez-Cantin4

4/15/16

Is it possible to define dependent constraints over parameters?

See checkReachability function here: http://rmcantin.bitbucket.org/html/usemanual.html#cppusage

unread,

Is it possible to define dependent constraints over parameters?

See checkReachability function here: http://rmcantin.bitbucket.org/html/usemanual.html#cppusage

4/15/16

Safoora Yousefi, Ruben Martinez-Cantin2

4/15/16

Mixture of continuous and discrete hyper parameters

Hi, Currently BayesOpt does not support joint continuous/discrete. You can try doing it by hand by

unread,

Mixture of continuous and discrete hyper parameters

Hi, Currently BayesOpt does not support joint continuous/discrete. You can try doing it by hand by

4/15/16

Devraj Mandal, … Ruben Martinez-Cantin6

4/8/16

Optimization of a complicated expensive closed black box function

Hi Devraj, The discrete optimization requires a vector/list of inputs. That is by design. It is more

unread,

Optimization of a complicated expensive closed black box function

Hi Devraj, The discrete optimization requires a vector/list of inputs. That is by design. It is more

4/8/16

rovella...@studenti.uniroma1.it, Ruben Martinez-Cantin2

3/21/16

MATLAB error compile

Hi, This looks like Matlab is not properly configured to found gcc. Have you tried compiling any

unread,

MATLAB error compile

Hi, This looks like Matlab is not properly configured to found gcc. Have you tried compiling any

3/21/16

Lukas M, … Ruben Martinez-Cantin5

12/21/15

How to handle evaluation failure of the black box function?

From the point of view of optimization, that's not an error/noise, but a constrain. Then you

unread,

How to handle evaluation failure of the black box function?

From the point of view of optimization, that's not an error/noise, but a constrain. Then you

12/21/15

Lukas M, Ruben Martinez-Cantin2

12/21/15

Accessing the fitted function during the optimization in python

> is it possible to access the fitted function eg for visualization purposes > during the

unread,

Accessing the fitted function during the optimization in python

> is it possible to access the fitted function eg for visualization purposes > during the

12/21/15

Ruben Martinez Cantin

12/5/15

BayesOpt v0.8 released

BayesOpt v0.8 released Just in time for NIPS 2015, we are happy to announced the new release of

unread,

BayesOpt v0.8 released

BayesOpt v0.8 released Just in time for NIPS 2015, we are happy to announced the new release of

12/5/15

Ruben Martinez-Cantin

7/3/14

BayesOpt v0.7.1 released

This update includes many new developments in Bayesian optimization. It also improves on the code

unread,

BayesOpt v0.7.1 released

This update includes many new developments in Bayesian optimization. It also improves on the code

7/3/14

Ruben Martinez-Cantin

3/27/14

BayesOpt v0.6 released.

With this update, there is not much changes on the outside, but the inside have changed dramatically.

unread,

BayesOpt v0.6 released.

With this update, there is not much changes on the outside, but the inside have changed dramatically.

3/27/14

Ruben Martinez-Cantin

5/16/13

Version 0.4.1 has been released

We are glad to announce that version 0.4.1 has been released. It means a major improvement on the

unread,

Version 0.4.1 has been released

We are glad to announce that version 0.4.1 has been released. It means a major improvement on the

5/16/13