The Algorithmic Learning Theory (ALT) 2023 conference will be held in Singapore on Feb 20-23, 2023. The conference is dedicated to all theoretical and algorithmic aspects of machine learning. We invite submissions with contributions to new or existing learning problems including, but not limited to:
- Design and analysis of learning algorithms.
- Statistical and computational learning theory.
- Online learning algorithms and theory.
- Optimization methods for learning.
- Unsupervised, semi-supervised, and active learning.
- Interactive learning, planning and control, and reinforcement learning.
- Privacy-preserving data analysis.
- Learning with additional societal and strategic considerations: e.g., fairness, economics.
- Robustness of learning algorithms to adversarial agents.
- Artificial neural networks, including deep learning.
- High-dimensional and non-parametric statistics.
- Adaptive data analysis and selective inference.
- Learning with algebraic or combinatorial structure.
- Bayesian methods in learning.
- Learning in distributed and streaming settings.
- Game theory and learning.
- Learning from complex data: e.g., networks, time series.
- Theoretical analysis of probabilistic graphical models.
While the primary focus of the conference is theoretical, authors are welcome to support their analysis by including relevant experimental results.
Accepted papers will be published electronically in the Proceedings of Machine Learning Research (PMLR), and will be presented at the conference as a full-length talk. Authors of accepted papers will have the option of opting out of the proceedings in favor of a 1-page extended abstract, which will point to an open access archival version of the full paper reviewed for ALT.
Important dates
Paper submission deadline:
September 30, 2022, 5:00PM EST
Author feedback:
Nov 15-22, 2022
Author notification:
December 21, 2022
Dual submission policy
Conferences: In general, submissions that are substantially similar to papers that have been previously published, accepted for publication, or submitted in parallel to other peer-reviewed conferences with proceedings may not be submitted to ALT.
Journals: submissions that are substantially similar to papers that are already published in a journal at the time of submission may not be submitted to ALT.
Rebuttal phase
This year there will be a rebuttal phase during the review process. Initial reviews will be sent to authors before final decisions have been made. Authors will have an opportunity to provide a short response to the initial reviews.
Awards
ALT will award both best paper and best student paper awards. To be eligible for the best student paper award, the primary contributor(s) must be full-time students at the time of submission. The paper can be co-authored by other researchers. For eligible papers, authors must indicate at submission time if they wish their paper to be considered for a student paper award. The program committee may decline to make these awards or may split them among several papers.
Contact
All questions about submissions should be emailed to the PC chairs at alt2023pc@gmail.com.