ConquerNet smooths quantile ReLU networks with convolution for easier training and establishes minimax-optimal nonasymptotic risk bounds over Besov function classes.
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ConquerNet: Convolution-Smoothed Quantile ReLU Neural Networks with Minimax Guarantees
ConquerNet smooths quantile ReLU networks with convolution for easier training and establishes minimax-optimal nonasymptotic risk bounds over Besov function classes.