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 2020. The DSAIDIS research team will present four papers:
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses [Arxiv]
Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d’Alché-Buc
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise [Arxiv]
Umut Simsekli, Lingjiong Zhu (FSU), Yee Whye Teh (Oxford and DeepMind), Mert Gurbuzbalaban (Rutgers University)
Improved Optimistic Algorithms for Logistic Bandits [Arxiv]
Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
Random extrapolation for primal-dual coordinate descent [Arxiv] Ahmet Alacaoglu, Olivier Fercoq et Volkan Cevher