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Inferences on Mixing Probabilities and Ranking in Mixed-Membership Models
Network data is prevalent in numerous big data applications including economics and health networks where it is of prime importance to understand the latent structure of network.
Deep Neural Networks for Nonparametric Interaction Models with Diverging Dimension
We show that under certain standard assumptions, debiased deep neural networks achieve a minimax optimal rate both in terms of $(n, d)$.
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