MN1: Principles of Dynamics and Control in Machine Learning |
Session Type: Lecture |
Time: Monday, December 16, 15:00 - 16:40 |
Location: Salle Fort Royal |
Session Chair: Michael B. Wakin, Colorado School of Mines
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MN1.1: A SIMPLE FRAMEWORK FOR LEARNING STABILIZABLE SYSTEMS |
Yahya Sattar, Samet Oymak, University of California, Riverside, United States |
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MN1.2: JOINT ESTIMATION OF TRAJECTORY AND DYNAMICS FROM PAIRED COMPARISONS |
Gregory Canal, Matthew O’Shaughnessy, Christopher Rozell, Mark Davenport, Georgia Institute of Technology, United States |
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MN1.3: MODE CLUSTERING FOR MARKOV JUMP SYSTEMS |
Zhe Du, Necmiye Ozay, Laura Balzano, University of Michigan, United States |
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MN1.4: CONVOLUTIONAL DICTIONARY LEARNING IN HIERARCHICAL NETWORKS |
Javier Zazo, Bahareh Tolooshams, Demba Ba, Harvard University, United States |
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MN1.5: DYNAMICAL SYSTEM IMPLEMENTATIONS OF SPARSE BAYESIAN LEARNING |
Matthew O'Shaughnessy, Mark Davenport, Christopher Rozell, Georgia Institute of Technology, United States |
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