2 papers
stat.CO2026
Theoretical guarantees for lifted samplers
Philippe Gagnon, Florian Maire
Lifted samplers form a class of Markov chain Monte Carlo methods which has drawn a lot attention in recent years due to superior performance in challenging Bayesian applications. A…
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…