Scalable Bayesian GPFA with automatic relevance determination and discrete noise models

Kristopher T. Jensen, Ta-Chu Kao, Jasmine Stone, Guillaume Hennequin. Scalable Bayesian GPFA with automatic relevance determination and discrete noise models. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 10613-10626, 2021. [doi]

Abstract

Abstract is missing.