Foundational Research Track
The Foundational Research track focuses on new theoretical contributions, novel findings, and current best practices in data and decision science.
Topics of Interest
- Machine Learning Theory
- Deep Learning
- Probabilistic Methods
- Optimization
- Reinforcement Learning
- Statistical Learning
- Knowledge Representation
- Graph Neural Networks
- Natural Language Processing
- Computer Vision
- Causal Inference
- Federated Learning
- Transfer Learning
- Meta-Learning
- Fairness and Ethics in AI
- Explainable AI