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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

Jian-Qing Shi

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Preprint Sep 2026

Heterogeneity-calibrated Byzantine-robust distributed composite quantile regression

We study sparse composite quantile regression (CQR) for distributed data with heterogeneous honest sites and Byzantine workers. Honest sites share a common slope but may differ in their covariate distributions, error laws, and quantile intercepts. The proposed heterogeneity-calibrated robust CQR (HC-RCQR) profiles loca...

Xiao-Fei Wu, Jian-Qing Shi · 0 citations
Preprint Sep 2026

Causal Inference for Heterogeneous Extreme Quantiles with Heavy-Tailed Outcomes

We propose a framework for estimating conditional extreme quantile treatment effects (CEQTEs) in observational studies with heavy-tailed outcomes. Our procedure first estimates intermediate conditional quantiles using inverse-probability-weighted (IPW) quantile regression and then extrapolates them to extreme levels us...

Xiao-Rui Wang, Juan Cai, H. J. Wang et al. · 0 citations

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