Introduction to Continuous Multi Fidelity Optimization
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Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers
Ionut-Gabriel Farcas - A tutorial on multi-fidelity methods for fusion energy research, Pt. 1/2
Deep and Multi-fidelity learning with Gaussian processes: Andreas Damianou, Amazon
Improving Multi-fidelity Optimization with a Recurring Learning rate for Hyperparameter Tuning
Sequential Multi‑Fidelity Bayesian Optimization for LLM Data Mixtures
Multi-fidelity Bayesian machine learning for global optimization
Mixed online offline multi-fidelity optimization (lab experiments guided by simulations)
Multi-Fidelity Emulator Demo in 1D
Ionut-Gabriel Farcas - A tutorial on multi-fidelity methods for fusion energy research, Pt. 2/2
Long-run Behaviour of Multi-fidelity Bayesian Optimisation (Project 2 of BO-Hackathon 2024)
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Last Updated: September 28, 2026
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Summary
This video is in the Adaptive Experimentation series presented at the 18th IEEE Conference on eScience in Salt Lake City, UT ... This video is part of the virtual useR! 2020 conference. Find supplementary material on our website user2020.r-project.org/. This video showcases experiments for our recent paper entitled " Recorded 12 March 2026. Ionut-Gabriel Farcas of Virginia Tech presents "A tutorial on Uncertainty quantification (UQ) employs theoretical, numerical and computational tools to characterise uncertainty. Authors: Lee, HyunJae; Lee, Gi-hyeon; Kim, Junhwan; Cho, SungJun; Kim, DoHyun; Yoo, Donggeun* Description: Despite the ... A talk by Mohammed Jamal, Columbia University Abstract : Bayesian Remote seminar (during the pandemic) that I have given on the topic of Recorded 13 March 2026. Ionut-Gabriel Farcas of Virginia Tech presents "A tutorial on 0:10 We mainly look at the failure of
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