2 papers
cs.LG2026
Latent Adversarial Regularization for Offline Preference Optimization
Enyi Jiang, Yibo Jacky Zhang, Yinglun Xu +3
Learning from human feedback typically relies on preference optimization that constrains policy updates through token-level regularization. However, preference optimization for lan…
cs.LG2025
A Comparative Study of Machine Learning Algorithms for Electricity Price Forecasting with LIME-Based Interpretability
Xuanyi Zhao, Jiawen Ding, Xueting Huang +1
With the rapid development of electricity markets, price volatility has significantly increased, making accurate forecasting crucial for power system operations and market decision…