A Lie Bracket for the Momentum Kernel
Frost, H
Mafra, C
Mason, L
Communications in mathematical physics
volume 402
issue 2
1307-1343
(30 Jun 2023)
Deep learning closure models for large-eddy simulation of flows around bluff bodies
Sirignano, J
MacArt, J
Journal of Fluid Mechanics
volume 966
a26
(10 Jul 2023)
Towards Learning Universal Hyperparameter Optimizers with Transformers
Chen, Y
Song, X
Lee, C
Wang, Z
Zhang, Q
Dohan, D
Kawakami, K
Kochanski, G
Doucet, A
Ranzato, M
Perel, S
de Freitas, N
Advances in Neural Information Processing Systems
volume 35
(01 Jan 2022)
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
Ruiz, F
Titsias, M
Cemgil, T
Doucet, A
Proceedings of Machine Learning Research
volume 161
707-717
(01 Jan 2021)
Importance Weighting Approach in Kernel Bayes' Rule
Xu, L
Chen, Y
Doucet, A
Gretton, A
Proceedings of Machine Learning Research
volume 162
24524-24538
(01 Jan 2022)
Mitigating Statistical Bias within Differentially Private Synthetic Data
Ghalebikesabi, S
Wilde, H
Jewson, J
Doucet, A
Vollmer, S
Holmes, C
Proceedings of Machine Learning Research
volume 180
685-695
(01 Jan 2022)
Variational Inference with Continuously-Indexed Normalizing Flows
Caterini, A
Cornish, R
Sejdinovic, D
Doucet, A
Proceedings of Machine Learning Research
volume 161
44-53
(01 Jan 2021)
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
Xu, W
Reinert, G
Advances in Neural Information Processing Systems
volume 35
(01 Jan 2022)
A Kernelised Stein Statistic for Assessing Implicit Generative Models
Xu, W
Reinert, G
Advances in Neural Information Processing Systems
volume 35
(01 Jan 2022)
Dependency in DAG models with Hidden Variables
Evans, R
Proceedings of Machine Learning Research
volume 161
813-822
(01 Jan 2021)