Brief

Researchers have developed MOSIC, a novel framework for identifying optimal subgroups in data, particularly for applications like clinical decision-making. Unlike previous two-step methods, MOSIC employs a unified optimization approach that directly incorporates essential constraints such as subgroup size and propensity overlap. This model-agnostic method reformulates the problem into a differentiable min-max objective, solvable via gradient descent-ascent, ensuring direct constraint satisfaction during optimization. AI

Researchers have introduced D3-Net, a novel framework designed to improve the estimation of longitudinal treatment effects, particularly in scenarios with time-varying confounders. The method addresses error propagation inherent in existing Iterative Conditional Expectation (ICE) G-computation techniques by employing Sequential Doubly Robust (SDR) pseudo-outcomes during training. Additionally, D3-Net incorporates a multi-task transformer with auxiliary supervision and a target network to stabilize learning. The final estimation uses Longitudinal Targeted Minimum Loss-Based Estimation (LTMLE) for enhanced robustness and optimal finite-sample properties, demonstrating superior performance over current state-of-the-art ICE-based estimators in comprehensive experiments. AI

Researchers have developed a new method called Policy-Encoded Q Network (PEQ-Net) to improve causal effect estimation in longitudinal settings. This approach allows for information sharing across different treatment policies, addressing a bias and variance issue found in traditional methods. PEQ-Net utilizes a shared policy encoder trained with kernel mean embeddings to reflect policy dissimilarities, leading to more stable and accurate results, especially when evaluating similar policies. AI

Donghua Energy has received a warning letter from the Jiangsu Securities Regulatory Bureau for failing to promptly disclose a 1.37 billion yuan arbitration case from 2022. The company also failed to disclose this information in several periodic reports. The company's chairman, general manager, and board secretary also received warnings for not diligently fulfilling their duties. Donghua Energy has since supplemented the disclosure of the arbitration and made corresponding adjustments in its 2025 annual financial report. AI