Track 1: Statistical Learning and Modeling
· Statistical Learning
· Probabilistic Models
· Bayesian Learning
· Regression and Classification
· Multivariate Modeling
· Time Series Modeling
· Nonparametric Learning
· Uncertainty Quantification
· Model Selection
· Computational Statistics
Track 2: Machine Learning with Statistical Foundations
· Supervised and Unsupervised Learning
· Deep Learning Methods
· Reinforcement Learning
· Feature Representation
· Model Evaluation and Validation
· Statistical Optimization
· Scalable Learning Algorithms
· Robust Learning Methods
· Transfer Learning
· Data-Driven Modeling
Track 3: AI Algorithms and Statistical Intelligence
· Intelligent Algorithms
· Probabilistic Reasoning
· Statistical Decision Methods
· Knowledge Representation
· Natural Language Processing
· Computer Vision
· Human-AI Interaction
· Explainable AI
· Autonomous Systems
· AI System Design
Track 4: Data Analytics and Applied Statistical AI
· Data Science Methods
· Big Data Analytics
· Predictive Analytics
· Statistical Data Analysis
· Data Visualization
· Risk and Reliability Analysis
· Optimization and Decision-Making
· Business Intelligence
· Social and Behavioral Data
· Interdisciplinary Applications
