3 papers
cs.LG2026
DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
Manrui Jiang, Jingru Huang, Yong Chen +1
Forecasting multivariate hidden Markov processes is challenging due to nonlinear and nonstationary observations, latent state transitions, and cross-sequence dependencies. While de…
cs.LG2026
Combinatorial Bandit Bayesian Optimization for Tensor Outputs
Jingru Huang, Haijie Xu, Jie Guo +2
Bayesian optimization (BO) has been widely used to optimize expensive and black-box functions across various domains. However, existing BO methods have not addressed tensor-output…
stat.ML2025
Function-on-Function Bayesian Optimization
Jingru Huang, Haijie Xu, Manrui Jiang +1
Bayesian optimization (BO) has been widely used to optimize expensive and gradient-free objective functions across various domains. However, existing BO methods have not addressed…