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cs.LG2026
COIN-GP: Cooperative Online Learning in Networked Distributed Systems with Partial Measurements via Gaussian Process Regression
Zewen Yang, Xiaobing Dai, Zhenxiao Yin +3
In this paper, we tackle the problem of jointly estimating the system states and partially unknown dynamics within distributed sensor-equipped networks, particularly in scenarios w…
cs.LG2025
Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms
Ninghui Feng, Songning Lai, Xin Zhou +9
In real-world time series forecasting, uncertainty and lack of reliable evaluation pose significant challenges. Notably, forecasting errors often arise from underfitting in-distrib…
cs.LG2024
TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks
Ninghui Feng, Songning Lai, Jiayu Yang +3
Time series forecasting has become an increasingly popular research area due to its critical applications in various real-world domains such as traffic management, weather predicti…