Tabular Data Analysis
TaDA: 4th International Workshop on Tabular Data Analysis
In conjunction with
International Conference on Very Large Data Bases 2026
August 31, 2026 - September 4, 2026
The Westin Boston Seaport District
Boston, MA, USA
Covers understanding, analyzing, and learning from tabular data at scale. Tabular data is the most common form in practice and the one deep learning has struggled most to improve on, with gradient-boosted trees remaining hard to beat. Understanding why is a live research question here. Topics include representation learning for heterogeneous columns, missingness, and transferring across tables with different schemas.
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