Mark Beaumont

According to our database, Mark Beaumont authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Direct Fisher Score Estimation for Likelihood Maximization.

Sherman Khoo, Yakun Wang, Song Liu, Mark Beaumont

CoRR, June, 2025

SoftCVI: Contrastive variational inference with self-generated soft labels.

Daniel Ward, Mark Beaumont, Matteo Fasiolo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models.

Louis Sharrock, Jack Simons, Song Liu, Mark Beaumont

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Minimizing f-Divergences by Interpolating Velocity Fields.

Song Liu, Jiahao Yu, Jack Simons, Mingxuan Yi, Mark Beaumont

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Variational Gradient Descent using Local Linear Models.

Song Liu, Jack Simons, Mingxuan Yi, Mark Beaumont

CoRR, 2023

2022

Robust Neural Posterior Estimation and Statistical Model Criticism.

Daniel Ward, Patrick Cannon, Mark Beaumont, Matteo Fasiolo, Sebastian M. Schmon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022