Jul 3, 2018 · This paper introduces the mathematical formulation of the population risk minimization problem in deep learning as a mean-field optimal control ...
Dec 13, 2018 · This paper introduces the mathematical formulation of the population risk minimization problem in deep learning as a mean-field optimal control ...
A mean-field optimal control formulation of deep learning
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In particular, it is observed that new insights can be obtained by recasting deep learning as an optimal control problem on differential equations. This ...
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Jul 3, 2018 · terized by a mean-field PMP) and its empirical risk minimization counter-part. Page 3. A Mean-Field Optimal Control Formulation of Deep Learning.
This paper introduces the mathematical formulation of the population risk minimization problem in deep learning as a mean-field optimal control problem, ...
Abstract: In this talk, I will discuss some of the results of [3] in which we propose a reformulation of a certain class of deep learning problems as ...
Apr 1, 2019 · differentiable with respect to both x, θ, with bounded and. Lipschitz partial derivatives. Theorem (Small-time uniqueness). Suppose that H ...
CSE19 - MS35-1: A Mean-field Optimal Control Formulation of Deep Learning · Overview · Resources ...
This paper introduces the mathematical formulation of the population risk minimization problem in deep learning as a mean-field optimal control problem.
Deep Learning as a discrete Optimal Control Problem. 3 A Mean Field Control formulation of Deep Learning. Mean field formulation of DPP and HJB. 4 The mean ...