3 citations · 7 across the 10 of their papers we have counts for
4 papers · 1 filter
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning
Song Wei, Xiangrui Kong, Alinson Santos Xavier +3
Energy justice is a growing area of interest in interdisciplinary energy research. However, identifying systematic biases in the energy sector remains challenging due to confoundin…
Transfer Learning for Causal Effect Estimation
Song Wei, Hanyu Zhang, Ronald Moore +2
We present a Transfer Causal Learning (TCL) framework when target and source domains share the same covariate/feature spaces, aiming to improve causal effect estimation accuracy in…
Causal Graph Discovery from Self and Mutually Exciting Time Series
Song Wei, Yao Xie, Christopher S. Josef +1
We present a generalized linear structural causal model, coupled with a novel data-adaptive linear regularization, to recover causal directed acyclic graphs (DAGs) from time series…
Causal Structural Learning from Time Series: A Convex Optimization Approach
Song Wei, Yao Xie
Structural learning, which aims to learn directed acyclic graphs (DAGs) from observational data, is foundational to causal reasoning and scientific discovery. Recent advancements f…