no code implementations • 28 Oct 2023 • Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy, Lalit Jain, Branislav Kveton, Ge Liu
The pessimistic estimator can be optimized by policy gradients and performs well in all of our experiments.
no code implementations • 4 Feb 2023 • Mike Van Ness, Huibin Shen, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Karthick Gopalswamy
Meta-forecasting is a newly emerging field which combines meta-learning and time series forecasting.
1 code implementation • 15 Dec 2022 • Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang
Transformer-based models have gained large popularity and demonstrated promising results in long-term time-series forecasting in recent years.