Contributed short papers
4 pages
Machine Learning/CORE Unranked
ICML26-Testing 2026
The ICML 2026 Workshop on Hypothesis Testing
The ICML 2026 Workshop on Hypothesis Testing brings together researchers to advance the foundations and applications of hypothesis testing in machine learning, addressing both statistical methodology and real-world challenges in areas like robustness, distribution shift, security, medicine, and LLM evaluation. The workshop features invited talks, contributed papers, posters, and a panel discussion to foster collaboration between theoretical and applied researchers.
Key deadlines
Verified September 9, 2026Full paper
May 13, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
May 13, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Contributed long papers
8 pages
Research areas in scope
01
Foundations of Testing Methods
Anytime-valid inference and e-valuesAdaptive hypothesis testing and differential privacyLearned-representation testsConditional independence and homogeneity testingFoundational limits and impossibility results
02
Impacts and Applications
A/B testingDomain adaptation and model selectionOut-of-distribution detection and anomaly detectionValidation of ML assumptions and explanationsMembership inference and adversarial testingMedical subgroup shift detectionLLM-related testing problems
Policies worth checking twice
- Submissions should follow the ICML 2026 format.
- Accepted submissions may be presented as posters and some will be selected for contributed talks (orals).
- Page limits apply to the whole paper (including references and appendix).
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026