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09/06/2022
An Indoor Localization Dataset and Data Collection Framework with High Precision Position Annotation
We introduce a novel technique and an associated high resolution dataset...
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12/07/2020
Autoencoding Variational Autoencoder
Does a Variational AutoEncoder (VAE) consistently encode typical samples...
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12/04/2018
Parallelising Particle Filters with Butterfly Interactions
Bootstrap particle filter (BPF) is the corner stone of many popular algo...
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06/07/2018
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
Recent studies have illustrated that stochastic gradient Markov Chain Mo...
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02/10/2016
Stochastic Quasi-Newton Langevin Monte Carlo
Recently, Stochastic Gradient Markov Chain Monte Carlo (SG-MCMC) methods...
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09/05/2015
HAMSI: A Parallel Incremental Optimization Algorithm Using Quadratic Approximations for Solving Partially Separable Problems
We propose HAMSI (Hessian Approximated Multiple Subsets Iteration), whic...
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06/03/2015
Parallel Stochastic Gradient Markov Chain Monte Carlo for Matrix Factorisation Models
For large matrix factorisation problems, we develop a distributed Markov...
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09/29/2014
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction
Probabilistic approaches for tensor factorization aim to extract meaning...
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01/11/2014
An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models
In this paper we formulate the nonnegative matrix factorisation (NMF) pr...
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09/19/2012