Learning and Intelligent Optimization 17, June 4-8, 2023 in Nice
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Kevin Tierney
Oct 7, 2022, 6:21:22 AM10/7/22
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Hi everyone,
The LION conference has traditionally hosted quite a few COSEAL-relevant papers. The upcoming edition of LION will be no different; or maybe it will have even more? We have a few special sessions this year that are particularly relevant for AutoML and configuration. Please see the call for papers below.
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Call For Papers: The 17th Conference on Learning and Intelligent Optimization (LION17) to be held in Nice, France from June 4-8, 2023
Important dates
Abstract submission: January 25, 2023
Full paper submission: February 1, 2023
Author notification: March 8, 2023
Presentation only abstracts: March 1, 2023
Conference pre-proceedings: May 1, 2023
Submit at: https://easychair.org/my/conference?conf=lion17
The site will start accepting submissions on November 1, 2022.
Topics of Interest
The 17th Learning and Intelligent Optimization conference is an interdisciplinary conference that brings together researchers in operations research, machine learning and related fields. We welcome contributions on all LION themes, i.e., topics containing exact and heuristic optimization involving learning or intelligent techniques, such as determining and applying appropriate optimization methods, expensive algorithm configuration, intelligent learning schemes for learning from past algorithm behavior, hybrid algorithms (evolutionary, etc.) to achieve robust and effective performance. Also, we solicit contributions on this year's special theme "ML and OR pipelines".
We invite submissions presenting new and original research on all topics related and relevant to the conference. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference.
Proceedings
Papers accepted into the LION17 proceedings will be published in Lecture Notes in Computer Science (LNCS). Submitted papers can have a maximum length of 15 pages (including references) and should use the LNCS template, which can be found here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Papers must be submitted as a PDF in English.
Please note that concurrent submissions are not allowed, and that a unique author of each accepted paper must register for conference for the paper to be included in the proceedings.
Special Sessions
In addition to submissions about general LION themes, we also welcome submissions related to one of our special sessions. The special sessions will be part of the regular conference and are subject to the same peer-review as all other submissions.
Special session 1: Bayesian Optimization and (Machine) Learning: Solutions, Applications, Challenges, and Perspectives
Organized by: Antonio Candelieri and Francesco Archetti (University of Milano-Bicocca)
Special session 2: Combinatorial and Integer Optimization Layers in Deep Learning
Organized by: Elias B. Khalil (University of Toronto), Bistra Dilkina (University of Southern California), Axel Parmentier (Ecole Nationale des Ponts et Chaussées)
Special session 3: Learning and Intelligent Optimization for Physical Systems
Organized by: Michael Vrahatis and Konstantinos Chatzilygeroudis (University of Patras)
Special session 4: Data-Driven Optimization with Business Process Mining
Organized by: Om Prakash Vyas (Indian Institute of Information Technology Allahabad) and Jerome Geyer-Klingeberg (Celonis)
Special session 5: Responsible AI in Practice
Organized by: Hendrik Baier, Laurens Bliek, Zaharah Bukhsh, Isel Grau, Yingqian Zhang (Eindhoven University of Technology)
For full descriptions of the special sessions, please see http://lion17.org
Presentation only abstracts
We also offer the opportunity to submit presentation-only abstracts of up to 2000 characters regarding ongoing or recently published work.
Program committee
Meinolf Sellmann (InsideOpt)
Kevin Tierney (Bielefeld University)
See the full program committee at http://lion17.org
Sincerely,
Important dates
Abstract submission: January 25, 2023
Full paper submission: February 1, 2023
Author notification: March 8, 2023
Presentation only abstracts: March 1, 2023
Conference pre-proceedings: May 1, 2023
Submit at: https://easychair.org/my/conference?conf=lion17
The site will start accepting submissions on November 1, 2022.
Topics of Interest
The 17th Learning and Intelligent Optimization conference is an interdisciplinary conference that brings together researchers in operations research, machine learning and related fields. We welcome contributions on all LION themes, i.e., topics containing exact and heuristic optimization involving learning or intelligent techniques, such as determining and applying appropriate optimization methods, expensive algorithm configuration, intelligent learning schemes for learning from past algorithm behavior, hybrid algorithms (evolutionary, etc.) to achieve robust and effective performance. Also, we solicit contributions on this year's special theme "ML and OR pipelines".
We invite submissions presenting new and original research on all topics related and relevant to the conference. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference.
Proceedings
Papers accepted into the LION17 proceedings will be published in Lecture Notes in Computer Science (LNCS). Submitted papers can have a maximum length of 15 pages (including references) and should use the LNCS template, which can be found here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Papers must be submitted as a PDF in English.
Please note that concurrent submissions are not allowed, and that a unique author of each accepted paper must register for conference for the paper to be included in the proceedings.
Special Sessions
In addition to submissions about general LION themes, we also welcome submissions related to one of our special sessions. The special sessions will be part of the regular conference and are subject to the same peer-review as all other submissions.
Special session 1: Bayesian Optimization and (Machine) Learning: Solutions, Applications, Challenges, and Perspectives
Organized by: Antonio Candelieri and Francesco Archetti (University of Milano-Bicocca)
Special session 2: Combinatorial and Integer Optimization Layers in Deep Learning
Organized by: Elias B. Khalil (University of Toronto), Bistra Dilkina (University of Southern California), Axel Parmentier (Ecole Nationale des Ponts et Chaussées)
Special session 3: Learning and Intelligent Optimization for Physical Systems
Organized by: Michael Vrahatis and Konstantinos Chatzilygeroudis (University of Patras)
Special session 4: Data-Driven Optimization with Business Process Mining
Organized by: Om Prakash Vyas (Indian Institute of Information Technology Allahabad) and Jerome Geyer-Klingeberg (Celonis)
Special session 5: Responsible AI in Practice
Organized by: Hendrik Baier, Laurens Bliek, Zaharah Bukhsh, Isel Grau, Yingqian Zhang (Eindhoven University of Technology)
For full descriptions of the special sessions, please see http://lion17.org
Presentation only abstracts
We also offer the opportunity to submit presentation-only abstracts of up to 2000 characters regarding ongoing or recently published work.
Program committee
Meinolf Sellmann (InsideOpt)
Kevin Tierney (Bielefeld University)
See the full program committee at http://lion17.org
Sincerely,
Kevin
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