Flex Conference (Physical / Digital)

International Conference on Probabilistic Approaches in Machine Learning (ICPAPML - 27)

Call for Paper

The ICPAPML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Probability Theory encouraging participation from emerging researchers and fostering academic growth.

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

  • Probabilistic models in machine learning
  • Bayesian methods for machine learning
  • Stochastic processes in AI applications
  • Probabilistic graphical models in ML
  • Uncertainty quantification in machine learning
  • Applications of Bayesian networks
  • Probabilistic approaches to deep learning
  • Statistical learning theory and applications
  • Reinforcement learning with probabilistic models
  • Probabilistic methods for natural language processing
  • Machine learning for predictive analytics
  • Ensemble methods in probabilistic learning
  • Probabilistic models for time series analysis
  • Applications of Markov models in ML
  • Probabilistic reasoning in AI systems
  • Statistical methods for model evaluation
  • Machine learning with incomplete data
  • Probabilistic approaches to computer vision
  • Applications of probabilistic models in healthcare
  • Probabilistic methods for anomaly detection

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :21st April 2027

Paper Submission Deadline :26th April 2027

Last Date of Registration : 6th May 2027

Date of Conference : 21st - 22nd May 2027