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Optimizing Deep Neural Networks via Discretization of Finite-Time Convergent Flows
In this paper, we investigate in the context of deep neural networks, th...
10/06/2020 ∙ by Mouhacine Benosman, et al. ∙
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A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm
Out of the recent advances in systems and control (S&C)-based analysis o...
06/23/2020 ∙ by Orlando Romero, et al. ∙
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Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions
In this paper, we propose two discontinuous dynamical systems in continu...
12/18/2019 ∙ by Orlando Romero, et al. ∙
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Analysis of Gradient-Based Expectation-Maximization-Like Algorithms via Integral Quadratic Constraints
The Expectation-Maximization (EM) algorithm is one of the most popular m...
03/03/2019 ∙ by Sarthak Chatterjee, et al. ∙
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Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory
In this paper, we propose a dynamical systems perspective of the Expecta...
10/04/2018 ∙ by Orlando Romero, et al. ∙
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