2 papers
stat.ML2026
Local Constrained Bayesian Optimization
Jing Jingzhe, Fan Zheyi, Szu Hui Ng +1
Bayesian optimization (BO) for high-dimensional constrained problems remains a significant challenge due to the curse of dimensionality. We propose Local Constrained Bayesian Optim…
cs.LG2025
BiDepth: A Bidirectional-Depth Neural Network for Spatio-Temporal Prediction
Sina Ehsani, Fenglian Pan, Qingpei Hu +1
Accurate spatial-temporal (ST) prediction for dynamic systems, such as urban mobility and weather patterns, is crucial but hindered by complex ST correlations and the challenge of…