Introduction to Continuous Multi Fidelity Optimization
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Multivariable Optimization with Boundaries
Ionut-Gabriel Farcas - A tutorial on multi-fidelity methods for fusion energy research, Pt. 2/2
Multi-fidelity Bayesian machine learning for global optimization
Michael Abdelmalik - A Multi-Fidelity Framework for Rarefied Dynamics - IPAM at UCLA
Consequential Improvement Acquisition Function for Multi-Fidelity Bayesian Optimization
Stephen Becker - Some new bi-fidelity methods for UQ and optimization - IPAM at UCLA
Anh Tran and Julien Tranchida - Multi-fidelity and parallel machine-learning approaches
Stanford CS149 I Lecture 6 - Performance Optimization II: Locality, Communication, and Contention
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Last Updated: September 29, 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 ... 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. Suppose we want to find the maximums and minimums of a function. Previously in our Calc III playlist we saw how to do this with ... Recorded 13 March 2026. Ionut-Gabriel Farcas of Virginia Tech presents "A tutorial on Remote seminar (during the pandemic) that I have given on the topic of Recorded 19 May 2026. Michael Abdelmalik of Technische Universiteit Eindhoven presents "A Consequential Improvement Acquisition Function for Recorded 22 May 2026. Stephen Becker of the University of Colorado Boulder presents "Some new bi- Anh Tran and Julien Tranchida's talk on " Message passing, async vs. blocking sends/receives, pipelining, increasing arithmetic intensity, avoiding contention To ...
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