Journal of Machine Learning Research · 2017 · 84 citations · 0 references
ComputingComputer ScienceMathematicsDerivativesMachine LearningOptimizationGradient-based OptimizationOptimization For Machine LearningPartial Differential EquationsAutomatic DifferentiationDifferentiationGradient DescentHessian ApproximationNumerical DifferentiationPartial Derivatives
Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD), also called algorithmic differentiation or simply auto-diff, is a fa...