Graham, Matthew M.
- Continuously tempered Hamiltonian Monte Carlo
2017/04/11 by Graham, Matthew M., Storkey, Amos J. · 3 citations
#Computation (stat.CO) #FOS: Computer and information sciences
- Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models
2019/12/06 by Matthew M. Graham, Alexandre H. Thiéry, Graham, Matthew M. +3 · 3 citations
Chemistry · Mathematics · #65C40 (Primary) 65C05 #65C40 (Secondary) #Computation (stat.CO) #Diffusion Coefficients in Liquids #FOS: Computer and information sciences #G.3 #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
- Asymptotically exact inference in differentiable generative models
2016/05/25 by Graham, Matthew M., Storkey, Amos J. · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML)
- Parameter Estimation with Increased Precision for Elliptic and Hypo-elliptic Diffusions
2022/11/29 by Yuga Iguchi, Alexandros Beskos, Iguchi, Yuga +3 · 2 citations
Chemistry · Decision Sciences · Mathematics · #Diffusion Coefficients in Liquids #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design #Statistical Methods and Inference
- Manifold lifting: scaling MCMC to the vanishing noise regime
2020/03/09 by Khai Xiang Au, Au, Khai Xiang, Matthew M. Graham +3 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods