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Learning Distributions Generated by One-Layer ReLU Networks

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 8105-8115

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We consider the problem of estimating the parameters of a d-dimensional rectified Gaussian distribution from i.i.d. samples. A rectified Gaussian distribution is defined by passing a standard Gaussian distribution through a one -layer ReLU neural network. We give a simple algorithm to estimate the parameters (i.e., the weight matrix and b...更多

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