Technical Program

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