Learning Distributions Generated by One-Layer ReLU Networks
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), pp. 8105-8115, 2019.
simple algorithmrectified gaussian distributionvector normsinfinity normnon-negative matrix factorization
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...More
PPT (Upload PPT)