[robotics-worldwide] [journals] CFP: JMLR Special Issue on Bayesian Optimization

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[robotics-worldwide] [journals] CFP: JMLR Special Issue on Bayesian Optimization

Roberto Calandra
Dear Colleagues,

We are excited to announce, in collaboration with the Journal of Machine
Learning Research (JMLR), a special issue on Bayesian Optimization. I
believe that this special issue might be relevant to a number of
researchers is robotics, where Bayesian optimization has become more and
more used in the last years. We encourage all interested researchers to
submit their manuscripts for consideration.


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CALL FOR PAPERS

Journal of Machine Learning Research (JMLR)
Special issue on Bayesian Optimization
https://urldefense.proofpoint.com/v2/url?u=https-3A__bayesopt.github.io_special-2Dissue.html&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=stFc05KvQ_zuZJ2B8OTjsp8n2GLQ__pv3OsaJ5XWQL8&s=xoL39MNT0cC6Ai7KfowS1M-HWp_qvuMaFXAl7SpnIg4&e= 
<https://urldefense.proofpoint.com/v2/url?u=https-3A__bayesopt.github.io_special-2Dissue.html&d=DwMFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=7zEZirJIdeqeCTHXbusQepI-pVfLroZJMGYQEZ5TyX8&s=LL_asHJSORRjmBppeyqyVsohk36rhOQneeNdJEIc6ok&e=>

***********************************************************************

Bayesian optimization has emerged as an exciting subfield of machine
learning that is concerned with optimization using probabilistic methods.
Systems implementing Bayesian optimization techniques have been
successfully used to solve difficult problems in a diverse set of
applications, including automatic tuning of ML algorithms, robotics, and
many other systems. Several recent advances in the methodologies and theory
underlying Bayesian optimization have extended the framework to new
applications and provided greater insights into the behaviour of these
algorithms. Bayesian optimization is now increasingly being used in
industrial settings, providing new and interesting challenges that require
new algorithms and theoretical insights.

We welcome any submissions related to Bayesian optimization, including
contributions to modeling, methodology, extensions, practical issues, and
applications.


IMPORTANT DATES & SUBMISSION
---------------------------------
Deadline for manuscript submission: 31 March 2018
First Round of Reviews: May 2018
Final Decision: 01 December 2018
Publication will be in early 2019

Manuscripts should be prepared according to the JMLR submission procedure (
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.jmlr.org_author-2Dinfo.html-23Submission&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=stFc05KvQ_zuZJ2B8OTjsp8n2GLQ__pv3OsaJ5XWQL8&s=pHzlsifENiz5fKwCNtqmMOOIo3Y0DknLcb5_plSxS6g&e= 
<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.jmlr.org_author-2Dinfo.html-23Submission&d=DwMFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=7zEZirJIdeqeCTHXbusQepI-pVfLroZJMGYQEZ5TyX8&s=ldI4a60OAZJ9m4PpSbzWRIZY0hcql55wVpzIYeJ9zLM&e=>),
and the submission should be done via the JMLR electronic submission
management system (https://urldefense.proofpoint.com/v2/url?u=http-3A__jmlr.csail.mit.edu_manudb_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=stFc05KvQ_zuZJ2B8OTjsp8n2GLQ__pv3OsaJ5XWQL8&s=uQ58Gt8q4U6V3kqON0MZYYFBDpCMy6Lchp-SrykOElA&e= 
<https://urldefense.proofpoint.com/v2/url?u=http-3A__jmlr.csail.mit.edu_manudb_&d=DwMFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=7zEZirJIdeqeCTHXbusQepI-pVfLroZJMGYQEZ5TyX8&s=VawCMK2l9_GSLcf6nxPaxuQYjDsmbh3NJgNFo2rOzNM&e=>)
by selecting “bayesopt” as special issue.

All submissions should be limited to a maximum of 24 pages (references
included)


CONTACT US:
---------------------------------
For further information you can contact us at [hidden email]


GUEST EDITORS::
---------------------------------
- Roberto Calandra, University of California, Berkeley, United States
- Roman Garnett, Washington University in St. Louis, United States
- Javier González, Amazon.com, UK
- Frank Hutter, University of Freiburg, Germany
- Bobak Shahriari, Thoughtexchange, Canada



--
Roberto Calandra
Postdoctoral Scholar
University of California, Berkeley
750/85B Sutardja Dai Hall, Berkeley, CA 94720
[hidden email]
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