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stat.ML2025
Exponential Convergence of CAVI for Bayesian PCA
Arghya Datta, Philippe Gagnon, Florian Maire
Probabilistic principal component analysis (PCA) and its Bayesian variant (BPCA) are widely used for dimension reduction in machine learning and statistics. The main advantage of p…
stat.ML2023★ 1 cited
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis
Arghya Datta, Sayak Chakrabarty
Probabilistic principal component analysis (PPCA) is currently one of the most used statistical tools to reduce the ambient dimension of the data. From multidimensional scaling to…