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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Chen Cheng

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2 papers indexed here

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Preprint Aug 2026

Variational Goal-Oriented Optimal Experimental Design for Mixed-Distribution Quantities of Interest: Application to Ship Roll Safety

Goal-oriented optimal experimental design (GO-OED) selects experiments according to the expected information gain (EIG) about a quantity of interest (QoI) rather than the full parameter vector. This work develops a variational GO-OED formulation for mixed discrete-continuous QoI laws arising in probabilistic mechanics...

Chen Cheng, Xun Huan, Yulin Pan · 0 citations
#machine learning Preprint Sep 2026

Rolling Conformal Prediction in Sequential Model Training

Rolling Conformal Prediction is introduced, a distribution-free predictive inference method for the setting of sequential model training that proves high-probability training-conditional validity uniformly over time; under stability conditions, coverage guarantees sharpen towards $1-\alpha$.

Chen Cheng, Rui-Ting Liang, Rina Foygel Barber · 0 citations

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