Topic Brief: This was presented by Kejia Shi at the Silicon Valley Big Data Science meetup on August 16, 2017. RocksDB is a general-purpose embedded key-value store used in multiple different settings.

David Eriksson High Dimensional Bayesian Optimization -

This was presented by Kejia Shi at the Silicon Valley Big Data Science meetup on August 16, 2017. RocksDB is a general-purpose embedded key-value store used in multiple different settings. Scaling Gaussian Process Regression with Derivatives NeurIPS 2018 Paper:

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  • This was presented by Kejia Shi at the Silicon Valley Big Data Science meetup on August 16, 2017.
  • RocksDB is a general-purpose embedded key-value store used in multiple different settings.
  • Scaling Gaussian Process Regression with Derivatives NeurIPS 2018 Paper:

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This was presented by Kejia Shi at the Silicon Valley Big Data Science meetup on August 16, 2017. Note this was a live recording ...

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Read more details and related context about Bayesian optimisation in many dimensions with bespoke models.

[AUTOML23] Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection

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Read more details and related context about [AUTOML23] Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection.

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