Követés
Rob Cornish
Rob Cornish
University of Oxford
E-mail megerősítve itt: robots.ox.ac.uk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
2962018
On Nesting Monte Carlo Estimators
T Rainforth, R Cornish, H Yang, A Warrington
International Conference on Machine Learning (ICML), 4264-4273, 2018
1732018
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
1292020
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
282019
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
222021
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
192022
Deep Generative Missingness Pattern-Set Mixture Models
S Ghalebikesabi, R Cornish, C Holmes, L Kelly
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
172021
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
152021
On the Pitfalls of Nested Monte Carlo
T Rainforth, R Cornish, H Yang, F Wood
arXiv preprint arXiv:1612.00951, 2016
102016
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
72023
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
72014
Stochastic Neural Network Symmetrisation in Markov Categories
R Cornish
arXiv preprint arXiv:2406.11814, 2024
22024
Efficient exact inference in discrete Anglican programs
R Cornish, F Wood, H Yang
Workshop on Probabilitic Programming Semantics, colocated with ACM POPL 17, 2017
22017
Robust Predictive Uncertainty for Neural Networks via Confidence Densities
R Cornish, G Deligiannidis, A Doucet
ICML Workshops, 2019
12019
Towards a Testable Notion of Generalization for Generative Adversarial Networks
R Cornish, H Yang, F Wood
12018
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
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Cikkek 1–20