most citedDiscriminative Learning for Monaural Speech Separation Using Deep Embedding Features

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cs.LG2019

Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization

Bin Liu

Bayesian optimization (BO) is a powerful paradigm for derivative-free global optimization of a black-box objective function (BOF) that is expensive to evaluate. However, the overhe…