| Bounding the stationary distributions of the chemical master equation via mathematical programming J Kuntz, P Thomas, GB Stan, M Barahona The Journal of chemical physics 151 (3), 2019 | 43 | 2019 |
| Stationary distributions of continuous-time Markov chains: a review of theory and truncation-based approximations J Kuntz, P Thomas, GB Stan, M Barahona SIAM Review 63 (1), 3-64, 2021 | 39 | 2021 |
| Bounding stationary averages of polynomial diffusions via semidefinite programming J Kuntz, M Ottobre, GB Stan, M Barahona SIAM Journal on Scientific Computing 38 (6), A3891-A3920, 2016 | 30 | 2016 |
| The exit time finite state projection scheme: bounding exit distributions and occupation measures of continuous-time Markov chains J Kuntz, P Thomas, GB Stan, M Barahona SIAM Journal on Scientific Computing 41 (2), A748-A769, 2019 | 23 | 2019 |
| Particle algorithms for maximum likelihood training of latent variable models J Kuntz, JN Lim, AM Johansen International Conference on Artificial Intelligence and Statistics, 2023 | 22 | 2023 |
| Diffusion limit for the Random Walk Metropolis algorithm out of stationarity J Kuntz, M Ottobre, AM Stuart Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 55 (3 …, 2019 | 15* | 2019 |
| Model reduction of genetic-metabolic networks via time scale separation J Kuntz, D Oyarzún, GB Stan A systems theoretic approach to systems and synthetic biology I: models and …, 2014 | 15 | 2014 |
| The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems J Kuntz, FR Crucinio, AM Johansen The Annals of Applied Probability 34 (1B), 1469-1523, 2024 | 13 | 2024 |
| Product-form estimators: exploiting independence to scale up Monte Carlo J Kuntz, FR Crucinio, AM Johansen Statistics and Computing 32 (1), 12, 2022 | 13 | 2022 |
| Non-stationary phase of the MALA algorithm J Kuntz, M Ottobre, AM Stuart Stochastics and Partial Differential Equations: Analysis and Computations 6 …, 2018 | 11 | 2018 |
| Approximations of countably-infinite linear programs over bounded measure spaces J Kuntz, P Thomas, GB Stan, M Barahona SIAM Journal on Optimization 31 (1), 604-625, 2021 | 9* | 2021 |
| Deterministic approximation schemes with computable errors for the distributions of Markov chains J Kuntz Imperial College London, 2017 | 8 | 2017 |
| Markov chains revisited J Kuntz arXiv preprint arXiv:2001.02183, 2020 | 7 | 2020 |
| Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities R Caprio, J Kuntz, S Power, AM Johansen arXiv preprint arXiv:2403.02004, 2024 | 6 | 2024 |
| Momentum Particle Maximum Likelihood JN Lim, J Kuntz, S Power, AM Johansen International Conference on Machine Learning, 2024 | 5 | 2024 |
| Divide-and-Conquer Sequential Monte Carlo J Aston, A Bouchard-Côté, R Chan, F Crucinio, B Kirkpatrick, J Kuntz, ... | | |
Guy-Bart StanProfessor of BioSystems Engineering and Control, RAEng Chair, Bioengineering, Imperial CollegeVerified email at imperial.ac.uk
