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cs.LG2026
Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift
Chenfeng Huang, Zixuan Ma, George Michailidis
Time series out-of-distribution generalization requires forecasters to remain reliable when deployment dynamics differ from training conditions due to covariate shift, concept shif…
cs.LG2026
PAC-Bayesian Meta-Learning for Few-Shot Identification of Linear Dynamical Systems
Chenfeng Huang, George Michailidis
Identifying linear time-invariant (LTI) dynamical systems is challenging when trajectories are short, noisy, or high-dimensional. Traditional system identification typically treats…
cs.LG2025
Effective Series Decomposition and Components Learning for Time Series Generation
Zixuan Ma, Chenfeng Huang
Time series generation focuses on modeling the underlying data distribution and resampling to produce authentic time series data. Key components, such as trend and seasonality, dri…