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Qingyang Dai

1 accepted papers

2025

Time-o1: Time-Series Forecasting Needs Transformed Label Alignment

NeurIPS 2025poster

Training time-series forecast models presents unique challenges in designing effective learning objectives. Existing methods predominantly utilize the temporal mean squared error, which faces two critical challenges: (1) label autocorrelation, which leads to bias from the label sequence likelihood;…

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