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Deep Generative Models for Density Estimation and Beyond
Dr. Oliva completed his PhD in machine learning at Carnegie Mellon University and worked at Yahoo! before coming to UNC. He is interested in seeing what makes data tick and understanding data at an aggregate, holistic level. By using techniques ranging from modern deep learning architectures to nonparametric statistics, he is making strides in areas like high-dimensional density estimation and modeling; sequential modeling and RNNs; and learning over complex or structured data.