Date : 2023-07-03 => 2023-07-05
Lieu : Strasbourg

The submission information can be found here (https://pfia23.icube.unistra.fr/conferences/cap/index.html). Submitted papers can be either in English or in French and we encourage two types of submissions:

Full research papers on the theme of machine learning theory and its applications should not exceed 10 pages in CAp double-column format (including references and figures). A suitable LaTeX templatefor CAp is available here.
Short papers can be up to 6 pages using the same format as the full papers. They present original ideas and provide an opportunity to describe significant work in progress.
We also encourage the submission of recent (2022 or 2023) papers accepted to high level conferences and journals in machine learning. These papers will also be reviewed (lightly) by the program committee. If accepted, they will be presented at the conference but will not appear in any (online) proceedings. Note that, in this particular case, the paper can be submitted in the original conference format (length and style) and the reviews given by the conference/ML journal where it was accepted should be included as the first pages of the submission in addition to a link to the corresponding conference/ML journal web page. The submission of the reviews and the original paper should be merged and submitted into a single PDF file on the easychair website.

Some accepted papers will be presented in a long (20 minutes) oral presentation and all the accepted papers will be given the opportunity to be presented as a spotlight (3 minutes) and as a poster at the conference. These presentations are an opportunity to have constructive and rigorous feedbacks, as well as to establish contacts with members of the french machine learning community. PhD Students are particularly welcome and encouraged to submit papers. Contributions will be freely distributed on the conference website, subject to approval by the authors.

KEY DATES

CAp Event: 3-5 July 2022
PFIA Event: 3-7 July 2022
CAp papers submission deadline: March 8th 2023 (Paris time)
Notification to authors for CAp papers: 15th of April 2023
Camera ready: 2nd of May 2023
Opening for registration: 22nd of April 2023
Early bird registration for the conference: up to the 23rd of May 2023
TOPICS

The conference and program chairs of CAp 2023 invite those working in areas related to any aspect of machine learning to submit original papers for review. Solicited topics include, but are not limited to:

Learning theory, models and paradigms:

Active learning
Online learning
Multi-target, multi-task, multi-instance, multi-view and transfer learning
Supervised, unsupervised and semi-supervised learning
Reinforcement learning
Relational learning
Representation learning
Symbolic learning
Bandit algorithms
Matrix and tensor factorization
Optimal Transport for Machine Learning
Privacy preserving Machine Learning
Ethic and fairness of Machine Learning
Interpretable Machine Learning
Grammar induction
Kernel methods
Bayesian methods
Spectral methods
Stochastic processes
Ensemble learning and boosting
Graphical models
Gaussian process
Neural networks and deep learning
Learning theory
Game theory
Optimization et related problems:

Large-scale machine learning and optimization
Optimization algorithms
Distributed optimization
Machine learning and structured data (spatio-temporal data, tree, graph)
Classification with missing values
Applications:

Social network analysis
Temporal data analysis
Bioinformatic
Data mining
Neuroscience
Natural language processing
Information retrieval
Computer vision

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