6 citations · 8 across the 7 of their papers we have counts for
4 papers · 1 filter
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data
Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1
Granger causality, commonly used for inferring causal structures from time series data, has been adopted in widespread applications across various fields due to its intuitive expla…
Towards Invariant Time Series Forecasting in Smart Cities
Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1
In the transformative landscape of smart cities, the integration of the cutting-edge web technologies into time series forecasting presents a pivotal opportunity to enhance urban p…
Dynamic Incremental Optimization for Best Subset Selection
Shaogang Ren, Xiaoning Qian
Best subset selection is considered the `gold standard' for many sparse learning problems. A variety of optimization techniques have been proposed to attack this non-smooth non-con…
Causal Bayesian Optimization via Exogenous Distribution Learning
Shaogang Ren, Zihao Wang, Yuzhou Chen +1
Maximizing a target variable as an operational objective within a structural causal model is a fundamental problem. Causal Bayesian Optimization (CBO) approaches typically achieve…