Author

Qin-Chuan Cheng

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#artificial intelligence Preprint Sep 2026

Target-Dependent Limits of Causal Repair: A Leading-Log Frontier in a Gaussian Model

Knowing how much a causal predictor could improve need not reveal the gain of the repair actually learned. We quantify this gap in a scalar Gaussian causal experiment with known intervention geometry: auxiliary data identify effect magnitude up to bounded contamination, while diagnostics identify direction. The target...

Qin-Chuan Cheng, Jia-Qi Liu, Rui Xie · 0 citations

#artificial intelligence Preprint Sep 2026

Reserve-Aware Contrast Certificates for Conservative Bandits with Uncertain Baselines

Conservative bandits must improve an incumbent policy without exhausting a prescribed performance budget. When the incumbent is uncertain, separately bounding candidate and baseline rewards can charge twice for shared estimation error. We develop Reserve-C4B around the baseline-relative contrast itself. A shared confid...

Qin-Chuan Cheng · 0 citations