ICML, the International Conference on Machine Learning, is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning.

ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, or robotics.

ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

It will be entirely conducted online in 2021. The DSAIDIS research team will present four papers:

Relative Positional Encoding for Transformers with Linear Complexity.[Arxiv]
Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu, Umut Şimşekli, Yi-Hsuan Yang, Gaël Richard

Learning from Biased Data: A Semi-Parametric Approach. [PMLR]
Patrice Bertail, Stephan Clémençon, Yannick Guyonvarch, Nathan Noiry

Generalization Bounds in the Presence of Outliers: a Median-of-Means Study. [Arxiv]
Pierre Laforgue, Guillaume Staerman, Stephan Clémençon

Concentric Mixtures of Mallows Models for Top-k Rankings: Sampling and Identifiability. [Arxiv]
Fabien Collas, Ekhine Irurozki

2021|The Thirty-eighth International Conference on Machine Learning.