| 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 | 
| MN1.1: A SIMPLE FRAMEWORK FOR LEARNING STABILIZABLE SYSTEMS | 
| Yahya Sattar, Samet Oymak, University of California, Riverside, United States | 
| 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 | 
| MN1.3: MODE CLUSTERING FOR MARKOV JUMP SYSTEMS | 
| Zhe Du, Necmiye Ozay, Laura Balzano, University of Michigan, United States | 
| MN1.4: CONVOLUTIONAL DICTIONARY LEARNING IN HIERARCHICAL NETWORKS | 
| Javier Zazo, Bahareh Tolooshams, Demba Ba, Harvard University, United States | 
| MN1.5: DYNAMICAL SYSTEM IMPLEMENTATIONS OF SPARSE BAYESIAN LEARNING | 
| Matthew O'Shaughnessy, Mark Davenport, Christopher Rozell, Georgia Institute of Technology, United States |