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OPT2024
We welcome you to participate in the 16th International OPT Workshop on Optimization for Machine Learning, to be held as a part of the NeurIPS 2024 conference. This year we particularly encourage (but not limit) submissions with a focus on "scaling up optimization".
We are looking forward to an exciting OPT!
Call for Participation
Important Dates
- Deadline September 27, 2024 (AoE)*
- Notification of acceptance: October 9, 2024 (AoE)
- Camera-ready papers upload to openreview: Dec 1, 2024 (OPT2024 style file required)
- Workshop date: December 15, 2024
Invited Talks
- Jason Altschuler (University of Pennsylvania)
- Misha Belkin (University of California San Diego)
- Gintare Karolina Dziugaite (Google DeepMind, McGill University)
- Ben Grimmer (Johns Hopkins)
- Aryan Mokhtari (University of Texas, Austin)
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 16th International (in-person) Workshop on "Optimization for Machine Learning", to be held as a part of the NeurIPS 2024 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 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. We particularly encourage submissions in the area of "scaling up optimization", with works contributing to bridging new and classical optimization methodology with challenges in large machine learning models and their scaling laws.
The main topics are, including, but not limited to:
- Adaptive Stochastic Methods
- Algorithms and techniques (higher-order methods, algorithms for nonsmooth problems, optimization with sparsity constraints, online optimization, streaming algorithms)
- Approaches to Adversarial Machine Learning
- Average-case Analysis of Optimization Algorithms
- Combinatorial optimization for machine learning
- Deep learning optimization
- Federated learning
- Games; min/max theory
- Nonconvex Optimization
- Optimization software (integration with existing DL software, hardware accelerators and systems)
- Parallel and Distributed Optimization for large-scale learning
- Privacy and Optimization
- Scaling laws
- The Interface of Generalization and Optimization
Submission Instructions:
- Submission website: OpenReview
- (Soft) Page limit: 5 pagesPlease use your own judgement. The submission should focus on the main contribution, additional results can be put into appendices. Please do not submit copies of your 9 page main conference submissions. Ultimately, the decision is at the reviewer's discretion.(without references and appendices)
- Submission format: Please use the OPT2024 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: OpenReview
- Style file: the OPT2024 style file must be used
- Page limit: 5-6 pages (without references and supplementary material). Please use your own judgement (6 pages is a hard limit).
- Camera-Ready deadline: December 1, 2024
- Accepted submissions for which no de-anonymized camera-ready pdf has been uploaded by the deadline will be considered withdrawn.
- Poster formatting (see poster instructions): 24W x 36H inches
Looking forward to another great OPT workshop!
The Organizing Committee:
- Jelena Diakonikolas (University of Wisconsin)
- Dan Garber (Technion)
- Cristóbal Guzmán (chair) (Pontificia Universidad Católica de Chile)
- Courtney Paquette (McGill University)
- Sebastian Stich (CISPA Helmholtz Center for Information Security)