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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…
math.ST2025★ 1 cited
Simple proof of robustness for Bayesian heavy-tailed linear regression models
Philippe Gagnon
In the Bayesian literature, a line of research called resolution of conflict is about the characterization of robustness against outliers of statistical models. The robustness char…