Practical Context: 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.

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

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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.

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David Eriksson | "High-Dimensional Bayesian Optimization"

David Eriksson | "High-Dimensional Bayesian Optimization"

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Introduction to Parallel Bayesian Optimization

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

High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB

High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB

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

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

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Bayesian optimisation in many dimensions with bespoke models

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"Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces", S. Daulton, et al

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

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