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Improving Multi-fidelity Optimization with a Recurring Learning rate for Hyperparameter Tuning
Multi-fidelity Bayesian machine learning for global optimization
Mixed online offline multi-fidelity optimization (lab experiments guided by simulations)
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers
Sequential Multi‑Fidelity Bayesian Optimization for LLM Data Mixtures
Anh Tran and Julien Tranchida - Multi-fidelity and parallel machine-learning approaches
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Last Updated: September 29, 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 ... Recorded 12 March 2026. Ionut-Gabriel Farcas of Virginia Tech presents "A tutorial on 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 arxiv.org/abs/2109.06716 To achieve peak predictive performance, hyperparameter This video showcases experiments for our recent paper entitled " A talk by Mohammed Jamal, Columbia University Abstract : Bayesian Anh Tran and Julien Tranchida's talk on "