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Multi-fidelity Bayesian machine learning for global optimization
Mixed online offline multi-fidelity optimization (lab experiments guided by simulations)
Ionut-Gabriel Farcas - A tutorial on multi-fidelity methods for fusion energy research, Pt. 1/2
A Multifidelity, Multiobjective Optimization Workflow With Parsl
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Sequential Multi‑Fidelity Bayesian Optimization for LLM Data Mixtures
AL4MS 2023: Ulpu Remes lecture
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Last Updated: October 3, 2026
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This video is in the Adaptive Experimentation series presented at the 18th IEEE Conference on eScience in Salt Lake City, UT ... Authors: Lee, HyunJae; Lee, Gi-hyeon; Kim, Junhwan; Cho, SungJun; Kim, DoHyun; Yoo, Donggeun* Description: Despite the ... Remote seminar (during the pandemic) that I have given on the topic of Recorded 12 March 2026. Ionut-Gabriel Farcas of Virginia Tech presents "A tutorial on Overview: We created a Python-based tool that utilizes an adaptively-built, arxiv.org/abs/2109.06716 To achieve peak predictive performance, hyperparameter A talk by Mohammed Jamal, Columbia University Abstract : Bayesian