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cs.LG2026
Bias-Corrected Adaptive Conformal Inference for Multi-Horizon Time Series Forecasting
Ankit Lade, Sai Krishna J., Indar Kumar
Adaptive Conformal Inference (ACI) provides distribution-free prediction intervals with asymptotic coverage guarantees for time series under distribution shift. However, ACI only a…
cs.LG2026
PCA-Driven Adaptive Sensor Triage for Edge AI Inference
Ankit Hemant Lade, Sai Krishna Jasti, Nikhil Sinha +2
Multi-channel sensor networks in industrial IoT often exceed available bandwidth. We propose PCA-Triage, a streaming algorithm that converts incremental PCA loadings into proportio…
cs.LG2026
RG-TTA: Regime-Guided Meta-Control for Test-Time Adaptation in Streaming Time Series
Indar Kumar, Akanksha Tiwari, Sai Krishna Jasti +1
Test-time adaptation (TTA) enables neural forecasters to adapt to distribution shifts in streaming time series, but existing methods apply the same adaptation intensity regardless…