
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
Stochastic processes are random variables with values in some space of p...
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A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities
We study the problem of estimating potential revenue or demand at busine...
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SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
Making predictions and quantifying their uncertainty when the input data...
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An ExpectationBased Network Scan Statistic for a COVID19 Early Warning System
One of the Greater London Authority's (GLA) response to the COVID19 pan...
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Near RealTime Social Distancing in London
During the COVID19 pandemic, policy makers at the Greater London Author...
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Transforming Gaussian Processes With Normalizing Flows
Gaussian Processes (GPs) can be used as flexible, nonparametric functio...
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Multitask Causal Learning with Gaussian Processes
This paper studies the problem of learning the correlation structure of ...
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Exoplanet Validation with Machine Learning: 50 new validated Kepler planets
Over 30 'validation', where the statistical likelihood of a transit aris...
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Variational Autoencoding of PDE Inverse Problems
Specifying a governing physical model in the presence of missing physics...
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Generalized Bayesian Filtering via Sequential Monte Carlo
We introduce a framework for inference in general statespace hidden Mar...
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Probabilistic sequential matrix factorization
We introduce the probabilistic sequential matrix factorization (PSMF) me...
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Multiresolution Multitask Gaussian Processes
We consider evidence integration from potentially dependent observation ...
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On the Constrained Leastcost Tour Problem
We introduce the Constrained Leastcost Tour (CLT) problem: given an und...
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Structured Variational Inference in Continuous Cox Process Models
We propose a scalable framework for inference in an inhomogeneous Poisso...
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Generalized Variational Inference
This paper introduces a generalized representation of Bayesian inference...
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Doubly Robust Bayesian Inference for NonStationary Streaming Data with βDivergences
We present the very first robust Bayesian Online Changepoint Detection a...
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Spatiotemporal Bayesian Online Changepoint Detection with Model Selection
Bayesian Online Changepoint Detection is extended to online model sele...
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Theodoros Damoulas
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