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Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach

Colin Neil Jones, Yuning Jiang, Emilio Maddalena, Paul Scharnhorst
2022
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Colin Neil Jones, Yuning Jiang, Emilio Maddalena, Paul Scharnhorst
2022
Journal Articles

Source officielle

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https://infoscience.epfl.ch/entities/publication/aedfd34d-2ba9-40ca-afc0-b1a6153aa1cd

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Robust design optimization of gas-lubricated herringbone grooved journal bearings: Surrogate modeling and experimental validation

Cameron John Bush, Jürg Alexander Schiffmann, Soheyl Massoudi

This study experimentally validates robust designs for herringbone grooved journal bearings (HGJBs) in micro-turbocompressors, addressing manufacturing deviations that lead to rotor instabilities. Experiments on a Pelton-driven rotor system focused on maxi ...

2025

Slack-variable Approach for Variational Quantum Semidefinite Programming

Zoë Holmes

Solving optimization problems is a key task for which quantum computers could possibly provide a speedup over the best known classical algorithms. Particular classes of optimization problems including semidefinite programming (SDP) and linear programming ( ...

AMER PHYSICAL SOC2025

Impact of Data Processing on Fairness in Supervised Learning

Negar Kiyavash

We study the impact of pre and postprocessing for reducing discrimination in data-driven decision makers. We first analyze the fundamental trade-off between fairness and accuracy in a preprocessing approach, and propose a design for a preprocessing module ...

IEEE2021