A Stochastic Approximation Method
1951-09-01The annals of mathematical statistics 1951Code Available0· sign in to hype
Herbert Robbins, Sutton Monro
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Abstract
Let M(x) denote the expected value at level x of the response to a certain experiment. M(x) is assumed to be a monotone function of x but is unknown to the experimenter, and it is desired to find the solution x=θ of the equation M(x)=α, where α is a given constant. We give a method for making successive experiments at levels x1,x2,⋯ in such a way that xn will tend to θ in probability.