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06/03/2023
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
Many machine learning problems require performing dataset valuation, i.e...
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01/26/2023
Personalised Federated Learning On Heterogeneous Feature Spaces
Most personalised federated learning (FL) approaches assume that raw dat...
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06/07/2022
FedPop: A Bayesian Approach for Personalised Federated Learning
Personalised federated learning (FL) aims at collaboratively learning a ...
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06/11/2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
Performing reliable Bayesian inference on a big data scale is becoming a...
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06/01/2021
QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning
Federated learning aims at conducting inference when data are decentrali...
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10/04/2020
High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm
Efficient sampling from a high-dimensional Gaussian distribution is an o...
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05/23/2019
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
Performing exact Bayesian inference for complex models is intractable. M...
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02/15/2019
Asymptotically exact data augmentation: models, properties and algorithms
Data augmentation, by the introduction of auxiliary variables, has becom...
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04/16/2018