Pre-Enrollment

13th October 2026

Final Paper Submission

18th October 2026

Registration Deadline

28th October`2026

Conference Date

12th Nov - 13th Nov 2026

Call for Papers

The International Conference on Computational Methods in Statistical 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 Statistics,Data Science, 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
Computational Methods In Statistical Learning
02
Algorithms For High-dimensional Data
03
Statistical Learning Theory Applications
04
Model Selection In Statistical Learning
05
Statistical Learning For Time Series Analysis
06
Deep Learning And Statistical Methods
07
Regularization Techniques In Statistical Learning
08
Statistical Learning In Genomics
09
Bayesian Approaches To Statistical Learning
10
Statistical Learning For Image Analysis
11
Ensemble Methods In Statistical Learning
12
Statistical Learning For Text Classification
13
Robustness In Statistical Learning Models
14
Statistical Learning For Network Data
15
Applications Of Statistical Learning In Finance
16
Statistical Learning In Social Sciences
17
Interpretable Models In Statistical Learning
18
Statistical Learning For Causal Inference
19
Computational Challenges In Statistical Learning
20
Future Directions In Statistical Learning
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