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cs.LG2026
AROpt: An Optimization Method for Autoregressive Time Series Forecasting
Zheng Li, Jerry Cheng, Huanying Gu
Current time-series forecasting models are primarily based on transformer-style neural networks. These models achieve long-term forecasting mainly by scaling up the model size rath…
cs.LG2025
Sequential Policy Gradient for Adaptive Hyperparameter Optimization
Zheng Li, Jerry Cheng, Huanying Helen Gu
Reinforcement learning is essential for neural architecture search and hyperparameter optimization, but the conventional approaches impede widespread use due to prohibitive time an…