Rotation Invariant Householder Parameterization for Bayesian PCA - researchr publication authors

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Rajbir-Singh Nirwan, Nils Bertschinger. Rotation Invariant Householder Parameterization for Bayesian PCA. In Kamalika Chaudhuri, Ruslan Salakhutdinov, editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Volume 97 of Proceedings of Machine Learning Research, pages 4820-4828, PMLR, 2019. [doi]

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