International Conference on Statistical Learning and Stochastic Methods - (ICSL-SM-26)


1st - 2nd December, 2026 | San Francisco, USA

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

1st November, 2026

Paper Submission Deadline

6th November, 2026

Last Date Of Registration

16th November, 2026

Date Of Conference

1st - 2nd December, 2026

Downloads

Call for Papers

The (ICSL-SM-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Probability Theory,Statistics, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Stochastic methods in machine learning
  • Statistical learning for dynamic systems
  • Stochastic modeling in data science
  • Applications of stochastic methods in finance
  • Statistical learning in time series forecasting
  • Stochastic methods for optimization problems
  • Statistical learning in computer vision
  • Stochastic modeling in healthcare systems
  • Applications of stochastic methods in engineering
  • Statistical learning for anomaly detection
  • Stochastic processes in artificial intelligence
  • Statistical learning in social sciences
  • Stochastic methods for risk management
  • Statistical learning in environmental modeling
  • Stochastic modeling in telecommunications
  • Applications of stochastic methods in logistics
  • Statistical learning for user behavior analysis
  • Stochastic methods in operations research
  • Statistical learning in energy systems
  • Stochastic modeling in supply chain optimization

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.