| Approximate Bayesian computation with the Wasserstein distance E Bernton, PE Jacob, M Gerber, CP Robert Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2019 | 164 | 2019 |
| On parameter estimation with the Wasserstein distance E Bernton, PE Jacob, M Gerber, CP Robert Information and Inference: A Journal of the IMA 8 (4), 657-676, 2019 | 116 | 2019 |
| Langevin monte carlo and jko splitting E Bernton Conference on learning theory, 1777-1798, 2018 | 95 | 2018 |
| Inference in generative models using the Wasserstein distance E Bernton, PE Jacob, M Gerber, CP Robert arXiv preprint arXiv:1701.05146 1 (8), 9, 2017 | 83 | 2017 |
| Entropic optimal transport: Geometry and large deviations E Bernton, P Ghosal, M Nutz Duke Mathematical Journal 171 (16), 3363-3400, 2022 | 59 | 2022 |
| Schr\" odinger Bridge Samplers E Bernton, J Heng, A Doucet, PE Jacob arXiv preprint arXiv:1912.13170, 2019 | 51 | 2019 |
| Stability of entropic optimal transport and Schrödinger bridges P Ghosal, M Nutz, E Bernton Journal of Functional Analysis 283 (9), 109622, 2022 | 40 | 2022 |
| On parallelizable Markov chain Monte Carlo algorithms with waste-recycling S Yang, Y Chen, E Bernton, JS Liu Statistics and Computing 28, 1073-1081, 2018 | 13 | 2018 |
| Optimal Transport in Statistical Inference and Computation E Bernton Harvard University, 2019 | 1 | 2019 |
