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Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach
This results in a nonsingular probability density function, enabling the application of maximum likelihood estimation techniques.
On the Search for Equilibrium Points of Switched Affine Systems
One of the main aspects of switched affine systems that makes their stabilizability study intricate is the existence of (generally) infinitely many equilibrium points in the state space.
Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm
The step-length policy is learned from data of similar optimization problems, avoids additional evaluations of the objective function, and guarantees that the output step remains inside a pre-defined interval.
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression
Our hypothesis is that the use of tasksimilarity helps meta-learning when the available tasks are limited and may contain outlier/ dissimilar tasks.
