Summary

On September 19, 2020, the second Workshop on the Art of Learning with Missing Values was hosted by the Artemiss Institute of Machine Learning, organized as the 37th International Conference on Machine Learning (ICML). This significant academic gathering focused on advanced topics in supervised deep learning, particularly the challenge of dealing with missing data. The event brought together renowned researchers and students to discuss solutions, strategies, and best practices in this critical area. Key experts from top institutions like Ipsen NB and Mattei P-A participated, alongside guest professors such as Frellsen J and others from institutions like Frellsen J, Hugo Senetaire, and Raul Ortega. The session highlighted emerging techniques that transform supervised deep learning into a more resilient and effective discipline for handling uncertainty and gaps in datasets. The workshop served as a pivotal platform where scholars from various disciplines gathered to explore how missing information could be managed within complex neural architectures without compromising model performance. The discussion covered methods from various sources, including the provided text, demonstrating the breadth of current efforts in this domain. By bringing together these experts, the workshop aimed to foster interdisciplinary dialogue that could benefit future research in deep learning systems where data quality is paramount.

Title

Jes Frellsen | Associate Professor

Description

Homepage of Jes Frellsen, Associate Professor, Department of Applied Mathematics and Computer Science, Technical University of Denmark, DTU.

Keywords

learning, supervisor, student, conference, machine, international, proceedings, version, university, workshop, principal, research, deep, statistics, structure, systems, models

NS Lookup

A 185.199.109.153, A 185.199.110.153, A 185.199.108.153, A 185.199.111.153

Dates

Created 2026-04-15

Updated 2026-04-15

Summarized 2026-04-26