Papers Algorithms NIPS 02 Talk Manifold Regularization CV CSE 630

Research interests I am interested in artificial intelligence and statistical pattern recognition. My research focuses on designing and analyzing algorithms for machine learning based on non-linear structure of multi-dimensional data, such as manifold and spectral methods. I am particularly interested in understanding the role of unlabeled data. Unlabeled data, arguably, plays a key role in natural learning, for example, in language acquisition. However our ability to use unlabeled data is still rudimentary for many inference tasks.

My research is partially supported by the NSF Early Career Award 0643916.