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Deep anytime-valid hypothesis testing
We propose a general framework for constructing powerful, sequential hypothesis tests for a large class of nonparametric testing problems.
E-Valuating Classifier Two-Sample Tests
Compared to $p$-values-based tests, tests with E-values have finite sample guarantees for the type I error.
Multi-View Independent Component Analysis with Shared and Individual Sources
Independent component analysis (ICA) is a blind source separation method for linear disentanglement of independent latent sources from observed data.
MMGAN: Generative Adversarial Networks for Multi-Modal Distributions
Moreover, MMGAN allows for clustering real data according to the learned data manifold in the latent space.
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