Experience
Education
Bio
He has worked on problems such as learning from non-iid samples, learning from biased samples, learning from data with missing features and automatic kernel selection for kernelized algorithms such as SVM.

Research Areas
Algorithms and Theory
Data Mining and Modeling
Education Innovation
Human-Computer Interaction and Visualization
Machine Intelligence