Machine Learning
Theory and algorithms
- Learning from data streams, non-stationary data, spatiotemporal data
- Active, semi-supervised, and unsupervised learning
- Embeddings, sparsity, and high-dimensionality
- Privacy-preserving machine learning
Applications
- Climate science:
- Sustainability: energy, environment, agriculture
- Finance