Jan 24, 2023 · We propose the first inducing point allocation strategy designed specifically for use in BO. Unlike existing methods which seek only to reduce global ...
[PDF] Inducing Point Allocation for Sparse Gaussian Processes in High ...
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Sparse Gaussian processes are a key component of high-throughput Bayesian optimisation (BO) loops; however, we show that existing methods for allocating ...
Sparse Gaussian Processes are a key component of high-throughput Bayesian optimisation (BO) loops — an increasingly common setting where evaluation budgets are ...
Jan 24, 2023 · By exploiting the quality-diversity decomposition of Determinantal Point Processes, we propose the first inducing point allocation strategy ...
Feb 23, 2023 · Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. (a) Exact GP. (b) SVGP with K-means. (c) SVGP ...
Sparse Gaussian Processes are a key component of high-throughput Bayesian optimisation (BO) loops -- an increasingly common setting where evaluation budgets ...
Missing: Allocation | Show results with:Allocation
AISTATS 2023. Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. Henry B. Moss, Sebastian W.
Sparse Gaussian Processes are a key component of high-throughput Bayesian Optimisation (BO) loops; however, we show that existing methods for allocating their ...
This method selects inducing points by continu- ally comparing new data points to the existing set of induc- ing variables in the model and keeping whichever ...
Missing: High- | Show results with:High-
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Sparse Gaussian Processes are a key component of high-throughput Bayesian Optimisation (BO) loops; however, we show that existing methods for allocating their ...