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stat.ML2026
Accelerated Parallel Tempering via Neural Transports
Leo Zhang, Peter Potaptchik, Jiajun He +5
Markov Chain Monte Carlo (MCMC) algorithms are essential tools in computational statistics for sampling from unnormalised probability distributions, but can be fragile when targeti…
stat.ML2025
The Cosine Schedule is Fisher-Rao-Optimal for Masked Discrete Diffusion Models
Leo Zhang, Saifuddin Syed
In this work, we study the problem of choosing the discretisation schedule for sampling from masked discrete diffusion models in terms of the information geometry of the induced pr…