4 papers
Cross-Treatment Effect Estimation for Multi-Category, Multi-Valued Causal Inference via Dynamic Neural Masking
Xiaopeng Ke, Yihan Yu, Ruyue Zhang +4
Counterfactual causal inference faces significant challenges when extended to multi-category, multi-valued treatments, where complex cross-effects between heterogeneous interventio…
The Estimation of Continual Causal Effect for Dataset Shifting Streams
Baining Chen, Yiming Zhang, Yuqiao Han +6
Causal effect estimation has been widely used in marketing optimization. The framework of an uplift model followed by a constrained optimization algorithm is popular in practice. T…
Cubic regularization methods with second-order complexity guarantee based on a new subproblem reformulation
Rujun Jiang, Zhishuo Zhou, Zirui Zhou
The cubic regularization (CR) algorithm has attracted a lot of attentions in the literature in recent years. We propose a new reformulation of the cubic regularization subproblem.…
An accelerated first-order method with complexity analysis for solving cubic regularization subproblems
Rujun Jiang, Man-Chung Yue, Zhishuo Zhou
We propose a first-order method to solve the cubic regularization subproblem (CRS) based on a novel reformulation. The reformulation is a constrained convex optimization problem wh…