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05/17/2022
High-dimensional additive Gaussian processes under monotonicity constraints
We introduce an additive Gaussian process framework accounting for monot...
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09/09/2020
Sequential construction and dimension reduction of Gaussian processes under inequality constraints
Accounting for inequality constraints, such as boundedness, monotonicity...
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02/28/2019
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
Gaussian process (GP) modulated Cox processes are widely used to model p...
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01/15/2019
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
Adding inequality constraints (e.g. boundedness, monotonicity, convexity...
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08/29/2018
Physically-inspired Gaussian processes for transcriptional regulation in Drosophila melanogaster
The regulatory process in Drosophila melanogaster is thoroughly studied ...
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04/10/2018
Maximum likelihood estimation for Gaussian processes under inequality constraints
We consider covariance parameter estimation for a Gaussian process under...
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10/20/2017
Finite-dimensional Gaussian approximation with linear inequality constraints
Introducing inequality constraints in Gaussian process (GP) models can l...
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11/23/2015
Switched latent force models for reverse-engineering transcriptional regulation in gene expression data
To survive environmental conditions, cells transcribe their response act...
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11/23/2015
