Beaumont, Mark

5 publications

NeurIPS 2025 Direct Fisher Score Estimation for Likelihood Maximization Sherman Khoo, Yakun Wang, Song Liu, Mark Beaumont

ICLR 2025 SoftCVI: Contrastive Variational Inference with Self-Generated Soft Labels Daniel Ward, Mark Beaumont, Matteo Fasiolo

ICML 2024 Minimizing $f$-Divergences by Interpolating Velocity Fields Song Liu, Jiahao Yu, Jack Simons, Mingxuan Yi, Mark Beaumont

ICML 2024 Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock, Jack Simons, Song Liu, Mark Beaumont

NeurIPS 2022 Robust Neural Posterior Estimation and Statistical Model Criticism Daniel Ward, Patrick Cannon, Mark Beaumont, Matteo Fasiolo, Sebastian Schmon