Fast Track Submission - Frontiers in Statistical Machine Learning (FSML), 2026
We invite researchers to present papers on the development, analysis, or application of statistical machine learning that have previously been accepted at major machine learning conferences and journals since the inaugural FSML 2025 workshop (August 2025): NeurIPS 2025, ICLR 2026, AISTATS 2026, ICML 2026, and UAI 2026, as well as JMLR and TMLR.

The FSML Fast Track is non-archival and does not have proceedings, to avoid conflict with other venues’ double submission policies. Author names do not need to be anonymized.

Submission deadline: Wednesday, September 30th, 2026 (AoE).
Notification of acceptance: Wednesday, October 14, 2026.

Travel awards are available only for the Workshop Track, not the Fast Track.

Full details: https://fsml-ims-workshop.org/#call
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Email *
Title *
Authors *
Comma-separated, in order. Example: Jane Doe, John Smith, Alex Lee
Link to published paper or link to a folder *
Provide either a link to the published paper, or a link to a folder containing the camera-ready paper plus the acceptance notification (PDF).
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