• P. Gagnon, F. Maire (2025) Theoretical guarantees for lifted samplers
  https://arxiv.org/pdf/2405.15952

• A. Datta, P. Gagnon, F. Maire (2025) Exponential Convergence of CAVI for Bayesian PCA
  https://www.arxiv.org/2505.16145

• S. Abaoubida, M. Bédard, F. Maire (2025) Adaptive Pseudo-Marginal Algorithm
  https://arxiv.org/pdf/2509.24820

• R. Rastelli, F. Maire, N. Friel (2024) Computationally efficient inference for latent position network models. Electron. J. Statist. 18 (1) : 2531 - 2570 doi.org/10.1214/24-EJS2256

• P. Gagnon, F. Maire (2024) An asymptotic Peskun ordering and its application to lifted samplers.
  Bernoulli 30.3 : 2301-2325 doi.org/10.3150/23-BEJ1674

• P. Gagnon, F. Maire, G. Zanella (2023) Improving multiple-try Metropolis with local balancing.
  J. Mach. Learn. Res. 24.248 : 1-59 jmlr.org/papers/v24/22-1351.html

• F. Maire, P. Vanderkerkhove (2022) Markov Kernels Local Aggregation for Noise Vanishing Distribution Sampling.  SIAM J. Math. Data Sci. 4:4, 1293–1319 doi.org/10.1007/s11009-019-09766-w

see CV for complete list of publications

• Non-reversible lifts of Metropolis-Hastings type Markov chains

University of Waterloo, January 2026 (slides)

• Towards Variance Reduction with the Occluded Process

The Fast and The Curious: MCMC in Action, University of Toronto, September 2025

• Monte Carlo with approximations: precise results on simple algorithms, speculations on more complex ones

MATRIX Workshop, University of Melbourne, July 2025

see CV for complete list of talks