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Roman Garnett - Bayesian Optimization
Bayesian Optimization
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB
Scaling Up Bayesian Inference for Big and Complex Data
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces, S. Daulton, et al
[AUTOML23] Computationally Efficient High-Dimensional Bayesian Optimization via Variable Teaser
[AUTOML23] Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection
Bayesian Optimization
A Bayesian Optimal Experimental Design for High-dimenstional Physics based Models
Abigail Doyle, Princeton U & Jason Stevens, BMS: Bayesian Optimization for Chemical Synthesis
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Last Updated: September 19, 2026
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Summary
We combine adjoint solvers with gradient-augmented The talk by Roman Garnett at the Probabilistic Numerics Spring School 2023 in Tübingen, on 27 March. Further presentations can ... RocksDB is a general-purpose embedded key-value store used in multiple different settings. Its versatility comes at the cost of ... by Swaraj Vatsa for ANC Journal Club. Authors: Yihang Shen, Carl Kingsford 2023.automl.cc/program/accepted_papers/ James Oreluk is a postdoctoral researcher at Sandia National Laboratories in Livermore, CA. He earned his Ph.D. in Mechanical ...
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