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
Hellström F
(2023)
Comparing Comparators in Generalization Bounds
Leroy A
(2022)
MAGMA: inference and prediction using multi-task Gaussian processes with common mean
in Machine Learning
Li L
(2021)
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly.
in Entropy (Basel, Switzerland)
Maddison C
(2021)
Dual Space Preconditioning for Gradient Descent
in SIAM Journal on Optimization
Middleton L
(2020)
Unbiased Markov chain Monte Carlo for intractable target distributions
in Electronic Journal of Statistics
Mikhailiuk A
(2022)
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality
in IEEE Transactions on Multimedia
Mikhailiuk A
(2020)
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality
Paulin D
(2022)
A 4D-Var method with flow-dependent background covariances for the shallow-water equations
in Statistics and Computing
Phillips A
(2022)
Spectral Diffusion Processes
Picard-Weibel A
(2022)
On change of measure inequalities for $f$-divergences
Pérez-Ortiz M.
(2021)
Tighter risk certificates for neural networks
in Journal of Machine Learning Research
Rivasplata O.
(2020)
PAC-Bayes analysis beyond the usual bounds
in Advances in Neural Information Processing Systems
Sun S
(2022)
Stability-based PAC-Bayes analysis for multi-view learning algorithms
in Information Fusion
Tadic V
(2021)
Asymptotic Properties of Recursive Particle Maximum Likelihood Estimation
in IEEE Transactions on Information Theory
Tadic V
(2020)
Stability of optimal filter higher-order derivatives
in Stochastic Processes and their Applications
Tadic V
(2019)
Analyticity of Entropy Rates of Continuous-State Hidden Markov Models
in IEEE Transactions on Information Theory
Viallard P
(2023)
Learning via Wasserstein-Based High Probability Generalisation Bounds
Wang R
(2022)
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning
in IEEE Transactions on Big Data
Wang R
(2021)
Graph Embedding Multi-Kernel Metric Learning for Image Set Classification With Grassmannian Manifold-Valued Features
in IEEE Transactions on Multimedia