Conference on Statistical Learning and Data Science 2026
A conference focused on statistical learning theory, methods, and applications.
Marriott at the Brooklyn Bridge
- Date
- November 1, 2026
- Venue
- Marriott at the Brooklyn Bridge
TL;DR
- The conference starts November 1, 2026, at Marriott at the Brooklyn Bridge.
- Its stated focus is the development of statistical learning theory, methods, and applications.
- Program topics include deep learning, causal inference, network analysis, and applications across health, social, and engineering sciences.
Who you'll find in the room
Researchers
The organizer lists researchers among the intended attendees.
Students
The organizer lists students among the intended attendees.
Postdoctoral researchers
The organizer identifies postdoctoral researchers as an audience group.
Early-career investigators
The organizer identifies early-career investigators as an audience group.
Junior researchers
The organizer identifies junior researchers as an audience group.
Partners on record
1 listedVenue & travel
Venue
Marriott at the Brooklyn BridgeQuestions people ask
5 answeredThe conference starts on November 1, 2026.
The conference is held at Marriott at the Brooklyn Bridge.
The organizer lists researchers, students, postdoctoral researchers, early-career investigators, and junior researchers as audience groups.
It suits academic, government and industry researchers working on statistical machine learning theory and methods, since the topics run from high dimensional statistics and causal inference to graphical models and deep learning, and the attendees are mainly students, postdocs and early-career investigators. Senior practitioners who want a vendor showcase or a broad product expo would get less, because the event is run by a professional society section as a research meeting, with that section as its only listed sponsor.
Attendees at academic statistics conferences usually wear business casual, such as a collared shirt or sweater with slacks or dark jeans, and comfortable shoes for long days of talks.
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