In the absence of explicit or tractable likelihoods, Bayesians often res...
Approximate Bayesian Computation (ABC) enables statistical inference in
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Deep learning methods continue to have a decided impact on machine learn...
Scalable Data Augmentation (SDA) provides a framework for training deep
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Few problems in statistics are as perplexing as variable selection in th...
Sparse alpha-norm regularization has many data-rich applications in mark...