Semantic Information Pursuit for Multimodal Data Analysis
Lead Research Organisation:
University of Oxford
Department Name: Statistics
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
| Arnaud Doucet (Principal Investigator) |
Publications
Middleton L
(2020)
Unbiased Markov chain Monte Carlo for intractable target distributions
in Electronic Journal of Statistics
Campbell A
(2023)
Trans-Dimensional Generative Modeling via Jump Diffusion Models
Pérez-Ortiz M.
(2021)
Tighter risk certificates for neural networks
in Journal of Machine Learning Research
Deligiannidis G
(2018)
The Correlated Pseudomarginal Method
in Journal of the Royal Statistical Society Series B: Statistical Methodology
Bouchard-Côté A
(2018)
The Bouncy Particle Sampler: A Nonreversible Rejection-Free Markov Chain Monte Carlo Method
in Journal of the American Statistical Association
Bulathwela S
(2020)
SUM'20: State-based User Modelling
Guedj B
(2021)
Still No Free Lunches: The Price to Pay for Tighter PAC-Bayes Bounds.
in Entropy (Basel, Switzerland)
Sun S
(2022)
Stability-based PAC-Bayes analysis for multi-view learning algorithms
in Information Fusion
Tadic V
(2020)
Stability of optimal filter higher-order derivatives
in Stochastic Processes and their Applications
Phillips A
(2022)
Spectral Diffusion Processes
Li L
(2021)
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly.
in Entropy (Basel, Switzerland)
Deligiannidis G
(2021)
Randomized Hamiltonian Monte Carlo as scaling limit of the bouncy particle sampler and dimension-free convergence rates
in The Annals of Applied Probability
Alenlöv J.
(2021)
Pseudo-marginal hamiltonian monte carlo
in Journal of Machine Learning Research
Haddouche M
(2021)
PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses.
in Entropy (Basel, Switzerland)
Rivasplata O.
(2020)
PAC-Bayes analysis beyond the usual bounds
in Advances in Neural Information Processing Systems
Campbell A
(2021)
Online Variational Filtering and Parameter Learning
Picard-Weibel A
(2022)
On change of measure inequalities for $f$-divergences
Gagnon P
(2020)
Nonreversible Jump Algorithms for Bayesian Nested Model Selection
in Journal of Computational and Graphical Statistics
Wang R
(2022)
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning
in IEEE Transactions on Big Data
Daudel K.
(2021)
Mixture weights optimisation for Alpha-Divergence Variational Inference
in Advances in Neural Information Processing Systems
Leroy A
(2022)
MAGMA: inference and prediction using multi-task Gaussian processes with common mean
in Machine Learning