I am a third year Ph.D. student in Machine Learning Department in Carnegie Mellon University, supervised by Dr. Jeff Schneider. I like methods that are simple but not superficial, effective but not sophisticated, generative but not with degenerated performance.
I am interested in learning processes with human/new data in the loop. Examples are active/semi-supervised learning, outlier detection, and reinforcement learning. The challenges here are that assumptions need to be valid yet generalizable, that heuristics need to bear theoretical explanations, and that optimization has to be done fast.
Sigma-Optimality in Active Learning on Gaussian Random Fields
A new heuristic proposed. Algorithmic bounds discovered.