Dynamical, Symplectic and Stochastic Perspectives on Gradient-Based Optimization Michael I. Jordan University of California, Berkeley March 3, 2018

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Date: 2018-07-28 17:09:47 Numerical analysis Dynamical systems Classical mechanics Hamiltonian mechanics Symplectic integrator Mathematical optimization Gradient descent Leapfrog integration Bregman Lagrangian Lagrangian mechanics Bregman divergence		Dynamical, Symplectic and Stochastic Perspectives on Gradient-Based Optimization Michael I. Jordan University of California, Berkeley March 3, 2018 Add to Reading List Source URL: eta.impa.br Download Document from Source Website File Size: 991,89 KB Share Document on Facebook