| Online Learning Rate Adaptation with Hypergradient Descent AG Baydin, R Cornish, DM Rubio, M Schmidt, F Wood Sixth International Conference on Learning Representations (ICLR), 2018 | 296 | 2018 |
| On Nesting Monte Carlo Estimators T Rainforth, R Cornish, H Yang, A Warrington International Conference on Machine Learning (ICML), 4264-4273, 2018 | 173 | 2018 |
| Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R Cornish, AL Caterini, G Deligiannidis, A Doucet International Conference on Machine Learning, (ICML), 2133-2143, 2020 | 129 | 2020 |
| Scalable Metropolis-Hastings for exact Bayesian inference with large datasets R Cornish, P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet International Conference on Machine Learning (ICML), 1351-1360, 2019 | 28 | 2019 |
| Scalable Metropolis–Hastings for Exact Bayesian Inference with Large Datasets: Supplementary Material R Cornish, P Vanetti, A Bouchard-Côté, G Deligiannidis, A Doucet | 28* | |
| Variational inference with continuously-indexed normalizing flows A Caterini, R Cornish, D Sejdinovic, A Doucet Uncertainty in Artificial Intelligence (UAI), 44-53, 2021 | 22 | 2021 |
| Conformal off-policy prediction in contextual bandits MF Taufiq, JF Ton, R Cornish, YW Teh, A Doucet Advances in Neural Information Processing Systems 35, 31512-31524, 2022 | 19 | 2022 |
| Deep Generative Missingness Pattern-Set Mixture Models S Ghalebikesabi, R Cornish, C Holmes, L Kelly International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021 | 17 | 2021 |
| On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models Y Shi, R Cornish International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021 | 15 | 2021 |
| On the Pitfalls of Nested Monte Carlo T Rainforth, R Cornish, H Yang, F Wood arXiv preprint arXiv:1612.00951, 2016 | 10 | 2016 |
| Marginal density ratio for off-policy evaluation in contextual bandits MF Taufiq, A Doucet, R Cornish, JF Ton Advances in Neural Information Processing Systems 36, 52648-52691, 2023 | 7 | 2023 |
| Analyzing array manipulating programs by program transformation JRM Cornish, G Gange, JA Navas, P Schachte, H Søndergaard, ... International Symposium on Logic-Based Program Synthesis and Transformation …, 2014 | 7 | 2014 |
| Stochastic Neural Network Symmetrisation in Markov Categories R Cornish arXiv preprint arXiv:2406.11814, 2024 | 2 | 2024 |
| Efficient exact inference in discrete Anglican programs R Cornish, F Wood, H Yang Workshop on Probabilitic Programming Semantics, colocated with ACM POPL 17, 2017 | 2 | 2017 |
| Robust Predictive Uncertainty for Neural Networks via Confidence Densities R Cornish, G Deligiannidis, A Doucet ICML Workshops, 2019 | 1 | 2019 |
| Towards a Testable Notion of Generalization for Generative Adversarial Networks R Cornish, H Yang, F Wood | 1 | 2018 |
| Neural Network Symmetrisation in Concrete Settings R Cornish arXiv preprint arXiv:2412.09469, 2024 | | 2024 |
| SymDiff: Equivariant Diffusion via Stochastic Symmetrisation L Zhang, K Ashouritaklimi, YW Teh, R Cornish arXiv preprint arXiv:2410.06262, 2024 | | 2024 |
| Causal Falsification of Digital Twins R Cornish, MF Taufiq, A Doucet, C Holmes arXiv preprint arXiv:2301.07210, 2023 | | 2023 |
| Equivariant stochastic neural networks in Markov categories R Cornish | | |
Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
