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喜报 | 学员论文被ICML 录用!

盐动力学员论文被

ICML 2023录用!

项目导师:浙江大学计算机博士

学员背景:211院校硕士



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   会议介绍   


The 40th International Conference on Machine Learning (ICML, CCF A) will be held in Honolulu, Hawaii USA July 23rd - July 29th, 2023, and is planned to be an in person conference with virtual elements. In addition to the main conference sessions, the conference will also include Expo, Tutorials, and Workshops. Please submit proposals to the appropriate chairs.

We invite submissions of papers on all topics related to machine learning for the main conference proceedings. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference. As with last year, papers need to be prepared and submitted as a single file: 8 pages as main paper, with unlimited pages for references and appendix. 

There will be no separate deadline for the submission of supplementary material. In addition, we require that, barring exceptional circumstances (such as visa problems) upon the acceptance of their papers, at least one of the authors must attend the conference, in person.

Topics of interest include (but are not limited to):

General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)

Deep Learning (architectures, generative models, deep reinforcement learning, etc.)

Learning Theory (bandits, game theory, statistical learning theory, etc.)

Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)

Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)

Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.)

Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)

Papers published at ICML are indexed in the Proceedings of Machine Learning Research through the Journal of Machine Learning Research.



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