Pre-Enrollment

6th February 2027

Final Paper Submission

11th February 2027

Registration Deadline

21st February`2027

Conference Date

8th Mar - 9th Mar 2027

Call for Papers

The International Conference on Probabilistic Approaches in Machine Learning invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Probability Theory, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Probabilistic Models In Machine Learning
02
Bayesian Methods For Machine Learning
03
Stochastic Processes In Ai Applications
04
Probabilistic Graphical Models In Ml
05
Uncertainty Quantification In Machine Learning
06
Applications Of Bayesian Networks
07
Probabilistic Approaches To Deep Learning
08
Statistical Learning Theory And Applications
09
Reinforcement Learning With Probabilistic Models
10
Probabilistic Methods For Natural Language Processing
11
Machine Learning For Predictive Analytics
12
Ensemble Methods In Probabilistic Learning
13
Probabilistic Models For Time Series Analysis
14
Applications Of Markov Models In Ml
15
Probabilistic Reasoning In Ai Systems
16
Statistical Methods For Model Evaluation
17
Machine Learning With Incomplete Data
18
Probabilistic Approaches To Computer Vision
19
Applications Of Probabilistic Models In Healthcare
20
Probabilistic Methods For Anomaly Detection
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review