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OPT2020
We welcome you to participate in the 12th OPT Workshop on Optimization for Machine Learning. This year's OPT workshop will be run as a virtual event together with NeurIPS. This year we particularly encourage submissions in the area of Adaptive stochastic methods and generalization performance.
We are looking forward to an exciting OPT 2020!
Call for Participation
Important Dates
- Deadline for submission of papers: October 8, 2020, anywhere on earth (*) (October 9, 5am, pacific time)
- Notification of acceptance: October 30, 2020
- Deadline for recording talks: November 13, 2020
- Camera-ready papers due: Dec 1, 2020 (OPT2020 style file required)
- Workshop date: December 11 or 12, 2020
Invited Talks
- Volkan Cevher (EPFL)
- Michael Friedlander (UBC)
- Donald Goldfarb (Columbia)
- Andreas Krause (ETH Zurich)
- Deanna Needell (UCLA), co-speaker Hanbaek Lyu (UCLA)
- Suvrit Sra (MIT)
- Rachel Ward (UT Austin)
- Ashia Wilson (MSR)
- Tong Zhang (Hong Kong University)
Overview
Optimization lies at the heart of many machine learning algorithms and enjoys great interest in our community. Indeed, this intimate relation of optimization with ML is the key motivation for the OPT series of workshops. We aim to foster discussion, discovery, and dissemination of state-of-the-art research in optimization relevant to ML.
We invite participation in the 12th International (Virtual) Workshop on "Optimization for Machine Learning", to be held as a part of the NeurIPS 2020 conference. We invite high quality submissions for presentation as spotlights or poster presentations during the workshop. We are especially interested in participants who can contribute theory / algorithms, applications, or implementations with a machine learning focus and encourage work-in-progress and state-of-art ideas.
All accepted contributions will be listed on the workshop webpage (though there are no archival proceedings) and are expected to be presented as a poster during the workshop. A few submissions will in addition be selected for contributed talks or for short spotlight presentations.
All accepted contributions will be listed on the workshop webpage (though there are no archival proceedings) and are expected to be presented during the (virtual) workshop. Given the online structure this year, we will ask each participant to submit a video recording in advance of the workshop and be available during allotted time slots to answer questions (more details on the format and schedule will follow). We particularly encourage submissions in the area of "Adaptive stochastic methods and generalization performance".
The main topics are, including, but not limited to:
- Adaptive Stochastic Methods
- The Interface of Generalization and Optimization
- Nonconvex Optimization
- Parallel and Distributed Optimization for large-scale learning, Federated Learning
- Algorithms and techniques (higher-order methods, algorithms for nonsmooth problems, optimization with sparsity constraints, online optimization, streaming algorithms)
- Combinatorial optimization for machine learning
- Optimization software (integration with existing DL software, hardware accelerators and systems)
Submission Instructions:
- Submission website: CMT
- (Soft) Page limit: 5 pages (without references and appendices)
- Submission format: Please use the OPT2020 style file for submission and CR version (and sharing on arxiv).
- Supplementary material: may be included, limited to a reasonable amount. Reviewers are not required to check the supplementary material, hence the paper should be self-contained.
- The submission must be sufficiently anonymized for double-blind reviewing.
- Dual submissions:
- We will not accept submissions that have already been accepted for publication in other venues with archival proceedings (including publications that will be presented at the NeurIPS main conference).
- We discourage dual submission to concurrent NeurIPS workshops, please choose the most suited workshop for your submission.
- Extended abstracts of papers under review at other conferences/journals can be submitted if this is ok for the conference/journal in question (if in doubt, please check with them first). Accepted papers will be posted on the webpage, but the workshop does not have archival proceedings.
Submission Instructions for Camera-Ready Version:
- Submission website: CMT
- Style file: the OPT2020 style file must be used (updated Sep 16).
- Suggested page limit: 5-6 pages (without references and supplementary material). Please use your own judgement.
- Deadline for recording talks: November 13, 2020
- Camera-Ready deadline: December 1, 2020
Submission Instructions for Poster:
- Submission website: CMT
- Poster session will be held on gather.town. Further instructions follow by email.
- Poster specs:
- Dimension: minimum 1000px (width) by 600px (high)
- Orientation: landscape only
- Format: PNG
- Max size: 3MB
Looking forward to another great OPT workshop!
The Organizing Committee:
- Courtney Paquette (lead, Google research)
- Quanquan Gu (UCLA)
- Mark Schmidt (UBC)
- Sebastian Stich (EPFL)
- Martin Takáč (Lehigh University)