Aug 24, 2018 · In this paper, we focus on NCE. The estimator derived from NCE is consistent and asymptotically normal because it is an M-estimator.
First, we propose a method for reducing asymptotic variance by estimating the parameters of the auxiliary distribution. Then, we determine the form of the ...
We establish consistency and asymptotic normality of NCE estimators under mild assumptions. We compare NCE and MC-MLE under several asymptotic regimes.
Jul 15, 2019 · The major and impressive result in this paper [now published in the Electronic Journal of Statistics] is that the noise contrastive estimation ...
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Figure 5: Investigating how noise-contrastive estimation (NCE) scales with the dimension of the data. Figure (a) shows the logarithm of the asymptotic variance ...
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We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the ...
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... Two-Stage Randomized Designs with Interference Masatoshi Uehara - Analysis of noise contrastive estimation from the perspective of asymptotic variance.
Aug 24, 2018 · First, we propose a method for reducing asymptotic variances by plugging in the MLE estimator into the parameters of the auxiliary distribution.
Nov 7, 2024 · We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate ...
A statistical model is said to be un-normalised when its like- lihood function involves an intractable normalising constant.
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