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Modelling statistical relationships beyond the conditional mean is crucial in many settings.
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A Simple Weight Decay Can Improve Generalization
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Feasibility of Multivariate Density Estimates
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A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation
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Creating artificial neural networks that generalize
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A Simple Weight Decay Can Improve Generalization
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Keeping Neural Networks Simple by Minimizing the Description Length of the Weights
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Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalisation and Learning Trajectory
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Mixture Density Networks
Bishop, C. M · 1994
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Functional approximation by feed-forward networks: a least-squares approach to generalization
Webb, A · 1994
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Bishop, C. M · 1995
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A Review of Kernel Density Estimation with Applications to Econometrics
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Conditional Generative Adversarial Nets
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
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Improving the accuracy and speed of support vector machines
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Conditional Gaussian Mixture Models for Environmental Risk Mapping
Gilardi, N., Bengio, S., and Kanevski, M · 2002
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{UCI} Machine Learning Repository, 2017
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