no code implementations • 30 Oct 2023 • Teodora Pandeva, Patrick Forré, Aaditya Ramdas, Shubhanshu Shekhar
We propose a general framework for constructing powerful, sequential hypothesis tests for a large class of nonparametric testing problems.
no code implementations • 24 Oct 2022 • Teodora Pandeva, Tim Bakker, Christian A. Naesseth, Patrick Forré
We introduce a powerful deep classifier two-sample test for high-dimensional data based on E-values, called E-value Classifier Two-Sample Test (E-C2ST).
no code implementations • 5 Oct 2022 • Teodora Pandeva, Patrick Forré
Independent component analysis (ICA) is a blind source separation method for linear disentanglement of independent latent sources from observed data.
no code implementations • 15 Nov 2019 • Teodora Pandeva, Matthias Schubert
Moreover, MMGAN allows for clustering real data according to the learned data manifold in the latent space.