Research topic: Machine Learning
Research methods: Graphical models, structured prediction, convex optimization, deep learning
Projects in the lab include:
- Developing algorithms for automatic understanding of natural language. These machine learning models are trained on large volumes of data, and involve many linguistic and algorithmic challenges.
- Developing algorithms for modeling large collections of variables (e.g., pixels in an image, activity of neurons in the cortex) using graphical models.
- Developing architectures and algorithms for extracting useful and comptact representations of complex data (e.g., text and images).