Tag: machine learning

Seminar: Fan Lu

Fan Lu is a Ph.D. student in the Department of Electrical & Computer Engineering at the University of Florida. He presents “Convex Analytic Theory for Convex Q-Learning” Wednesday, Feb. 22 at 3:00pm in NEB 409.

Seminar: José Príncipe

Dr. José C. Príncipe is a Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Florida. He presents “Uncertainty Quantification for Trained Machine Learning Models” Wednesday, Feb. 15 at 3:00pm in NEB 409.

Seminar: Lili Du

Lili Du

Dr. Lili Du is an associate professor in the Civil and Coastal Engineering Department, University of Florida. She presents “Machine Learning and Artificial Intelligence Aided Traffic Prediction, Control, and Management” Thursday, March 2 at 1:00 in LAR 234.

Seminar: Fahad Sohrab

Dr. Fahad Sohrab is a postdoctoral research fellow at the SAMI research group in the Department of Computing Sciences at Tampere University, Finland. He presents “Subspace learning for one-class classification” Wednesday, Nov. 2 at 3:30pm in Larsen Hall 234.

Seminar: Olaoluwa Adigun

Olaoluwa Adigun is a Ph.D. candidate in the Signal and Image Processing Institute, ECE Department at USC (LA). He presents “Bidirectional Backpropagation and High Capacity Network” Thursday, March 31 at 1:00pm Via Zoom.

Seminar: Yuheng Bu

Yugeng Bu

Dr. Yuheng Bu is a postdoctoral research associate with the Institute for Data, Systems, and Society (IDSS) at the Massachusetts Institute of Technology (MIT). He presents “Can Information Theory Characterize Learning Algorithms?” Thursday, March 3 at 1:00pm via Zoom.

Seminar: Yaoqing Yang

Dr. Yaoqing Yang is a postdoctoral researcher at the RISE Lab at UC Berkeley. He presents “Local vs Global Structures in Machine Learning Generalization” Thursday, March 24 at 1:00pm via Zoom.

Seminar: Daniel L. Silver

Daniel Silver

Dr. Daniel Silver is a professor in and former director of the Jodrey School of Computer Science, Acadia University, Wolfville, Nova Scotia. He presents “Lifelong Machine Learning and Reasoning” Friday, Feb. 25 at 1:00pm via Zoom.