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A Stochastic Approximation Method

Herbert Robbins; Sutton Monro · The Annals of Mathematical Statistics · 1951

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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 $x = \theta$ of the equation $M(x) = \alpha$, where $\alpha$ is a given constant. We give a method for making successive experiments at levels $x_1,x_2,\cdots$ in such a way that $x_n$ will tend to $\theta$ in probability.

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APA 7

Robbins, H. & Monro, S. (1951). A Stochastic Approximation Method. https://doi.org/10.1214/aoms/1177729586

MLA

Robbins, Herbert, and Sutton Monro. "A Stochastic Approximation Method." 1951. https://doi.org/10.1214/aoms/1177729586.

Chicago

Robbins, Herbert and Sutton Monro. 1951. "A Stochastic Approximation Method.". https://doi.org/10.1214/aoms/1177729586.

Harvard

Robbins, H. and Monro, S. 1951, A Stochastic Approximation Method, The Annals of Mathematical Statistics, available at: https://doi.org/10.1214/aoms/1177729586 [Accessed 7 Aug. 2026].

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Title
A Stochastic Approximation Method
Author / contributors
Herbert Robbins; Sutton Monro
Publisher
The Annals of Mathematical Statistics
Publication year
1951
Language
English

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