| Telescoping Density-Ratio Estimation B Rhodes, K Xu, MU Gutmann Advances in Neural Information Processing Systems 33, 2020 | 77 | 2020 |
| Variational noise-contrastive estimation B Rhodes, MU Gutmann The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 13 | 2019 |
| Enhanced gradient-based MCMC in discrete spaces B Rhodes, M Gutmann arXiv preprint arXiv:2208.00040, 2022 | 11 | 2022 |
| Variational Gibbs inference for statistical model estimation from incomplete data V Simkus, B Rhodes, MU Gutmann arXiv preprint arXiv:2111.13180, 2021 | 7 | 2021 |
| Statistical applications of contrastive learning MU Gutmann, S Kleinegesse, B Rhodes Behaviormetrika, 1-25, 2022 | 4 | 2022 |
| Enhanced gradient-based MCMC in discrete spaces B Rhodes, M Gutmann Transactions on Machine Learning Research, 2022 | | 2022 |
| Scaling Densities For Improved Density Ratio Estimation A Srivastava, S Han, B Rhodes, K Xu, MU Gutmann | | 2021 |
| Dimension Formulae for Iterated Function Systems B Rhodes | | |
| Telescoping Density-Ratio Estimation: Supplementary Material B Rhodes, K Xu, MU Gutmann | | |
| Variational Noise Contrastive Estimation—Supplementary Materials— B Rhodes, M Gutmann | | |
