(ICCMSL - 26) | Hybrid Event
15th - 16th May 2026 | London, UK

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International Conference on Computational Methods in Statistical Learning
(ICCMSL - 26)

15th - 16th May 2026 London, UK (Hybrid Event)

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Call for Paper

The ICCMSL is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Statistics,Data Science, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Computational methods in statistical learning
  • Algorithms for high-dimensional data
  • Statistical learning theory applications
  • Model selection in statistical learning
  • Statistical learning for time series analysis
  • Deep learning and statistical methods
  • Regularization techniques in statistical learning
  • Statistical learning in genomics
  • Bayesian approaches to statistical learning
  • Statistical learning for image analysis
  • Ensemble methods in statistical learning
  • Statistical learning for text classification
  • Robustness in statistical learning models
  • Statistical learning for network data
  • Applications of statistical learning in finance
  • Statistical learning in social sciences
  • Interpretable models in statistical learning
  • Statistical learning for causal inference
  • Computational challenges in statistical learning
  • Future directions in statistical learning
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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