Author

Yo-Han Lee

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#machine learning Preprint Sep 2026

Downside-Controlled Online Forecast Combination under Delayed and Revised Outcomes

Post-hoc correction adjusts a forecaster that cannot be retrained, such as a foundation model, but a correction fitted where errors are stable can hurt where they shift. We aim for downside control: not much worse than the starting forecast. We combine the frozen forecaster, a static corrector and an online corrector o...

Minkyoung Kim, Hyunjung Byun, Yo-Han Lee et al. · 0 citations

#machine learning Preprint Sep 2026

Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs

Similarity-based retrieval is the dominant rule for conditioning large language models (LLMs) in in-context learning, retrieval-augmented generation, and prompt-based time series forecasting. The rule concentrates on near-duplicate candidates, an issue that has motivated diversity-aware retrieval but remains unexamined...

D. Ji, Minkyoung Kim, Dongkuk Kim et al. · 0 citations