3 papers
cs.LG2026
When the Martingale Never Stops Firing: Anytime-Valid Gating on Real Forecast Streams
Weijia Han, Lisha Qu
Machine learning systems are increasingly corrected while they run, and the decision of when to intervene is increasingly delegated to statistical monitors. Anytime-valid inference…
cs.LG2026
The Label Complexity of Class-Conditional Coverage under Distribution Shift
Weijia Han, Lisha Qu
Conformal prediction certifies that a classifier's prediction sets cover the truth, and that certificate is marginal. Many recognition benchmarks build distribution shift into eval…
cs.DC2026
Decomposing Runtime, Kernel, and Quantization Speedups via a Matched FP16 Intermediate: A Hardware-Conditioned Case Study on Four NVIDIA RTX A5000 GPUs
Weijia Han, Lisha Qu
Reported serving speedups from quantized kernels typically bundle the weight format, the kernel, and the inference runtime into one number. We present an attribution study on four…