59 citations · 275 across the 37 of their papers we have counts for
6 papers · 1 filter
Probabilistic sequential matrix factorization
Ömer Deniz Akyildiz, Gerrit J. J. van den Burg, Theodoros Damoulas +1
We introduce the probabilistic sequential matrix factorization (PSMF) method for factorizing time-varying and non-stationary datasets consisting of high-dimensional time-series. In…
On the Constrained Least-cost Tour Problem
Patrick O'Hara, M. S. Ramanujan, Theodoros Damoulas
We introduce the Constrained Least-cost Tour (CLT) problem: given an undirected graph with weight and cost functions on the edges, minimise the total cost of a tour rooted at a sta…
Structured Variational Inference in Continuous Cox Process Models
Virginia Aglietti, Edwin V. Bonilla, Theodoros Damoulas +1
We propose a scalable framework for inference in an inhomogeneous Poisson process modeled by a continuous sigmoidal Cox process that assumes the corresponding intensity function is…
Multi-resolution Multi-task Gaussian Processes
Oliver Hamelijnck, Theodoros Damoulas, Kangrui Wang +1
We consider evidence integration from potentially dependent observation processes under varying spatio-temporal sampling resolutions and noise levels. We develop a multi-resolution…
Non-linear Multitask Learning with Deep Gaussian Processes
Ayman Boustati, Theodoros Damoulas, Richard S. Savage
We present a multi-task learning formulation for Deep Gaussian processes (DGPs), through non-linear mixtures of latent processes. The latent space is composed of private processes…
Generalized Variational Inference: Three arguments for deriving new Posteriors
Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
We advocate an optimization-centric view on and introduce a novel generalization of Bayesian inference. Our inspiration is the representation of Bayes' rule as infinite-dimensional…