
Stochastic QuasiNewton Langevin Monte Carlo
Recently, Stochastic Gradient Markov Chain Monte Carlo (SGMCMC) methods...
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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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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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A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction
Probabilistic approaches for tensor factorization aim to extract meaning...
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An Online ExpectationMaximisation Algorithm for Nonnegative Matrix Factorisation Models
In this paper we formulate the nonnegative matrix factorisation (NMF) pr...
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Alpha/Beta Divergences and Tweedie Models
We describe the underlying probabilistic interpretation of alpha and bet...
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Asynchronous Stochastic QuasiNewton MCMC for NonConvex Optimization
Recent studies have illustrated that stochastic gradient Markov Chain Mo...
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Parallelising Particle Filters with Butterfly Interactions
Bootstrap particle filter (BPF) is the corner stone of many popular algo...
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A. Taylan Cemgil
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