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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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02/07/2022
NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks
This paper proposes a fast and scalable method for uncertainty quantific...
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06/30/2021
Monte Carlo Variational Auto-Encoders
Variational auto-encoders (VAE) are popular deep latent variable models ...
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12/31/2020
Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees
Markov Chain Monte Carlo (MCMC) is a class of algorithms to sample compl...
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02/27/2020
