Search Results for author: Yiyan Huang

Found 8 papers, 3 papers with code

Unveiling the Potential of Robustness in Evaluating Causal Inference Models

no code implementations28 Feb 2024 Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li, Qi Wu

The growing demand for personalized decision-making has led to a surge of interest in estimating the Conditional Average Treatment Effect (CATE).

Causal Inference counterfactual +2

The Causal Impact of Credit Lines on Spending Distributions

1 code implementation16 Dec 2023 Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang

Consumer credit services offered by e-commerce platforms provide customers with convenient loan access during shopping and have the potential to stimulate sales.

Deep into The Domain Shift: Transfer Learning through Dependence Regularization

1 code implementation31 May 2023 Shumin Ma, Zhiri Yuan, Qi Wu, Yiyan Huang, Xixu Hu, Cheuk Hang Leung, Dongdong Wang, Zhixiang Huang

This paper proposes a new domain adaptation approach in which one can measure the differences in the internal dependence structure separately from those in the marginals.

Domain Adaptation Transfer Learning

Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information

no code implementations5 Sep 2022 Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Qi Wu, Dongdong Wang, Zhixiang Huang

In this paper, we propose a moderately-balanced representation learning (MBRL) framework based on recent covariates balanced representation learning methods and orthogonal machine learning theory.

Learning Theory Multi-Task Learning +2

Robust Causal Learning for the Estimation of Average Treatment Effects

no code implementations5 Sep 2022 Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Shumin Ma, Zhiri Yuan, Dongdong Wang, Zhixiang Huang

Theoretically, the RCL estimators i) are as consistent and doubly robust as the DML estimators, and ii) can get rid of the error-compounding issue.

Decision Making

Robust Orthogonal Machine Learning of Treatment Effects

no code implementations22 Mar 2021 Yiyan Huang, Cheuk Hang Leung, Qi Wu, Xing Yan

Theoretically, the RCL estimators i) satisfy the (higher-order) orthogonal condition and are as \textit{consistent and doubly robust} as the DML estimators, and ii) get rid of the error-compounding issue.

BIG-bench Machine Learning

The Causal Learning of Retail Delinquency

no code implementations17 Dec 2020 Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang

Classical estimators overlook the confounding effects and hence the estimation error can be magnificent.

Inquisitive Question Generation for High Level Text Comprehension

1 code implementation EMNLP 2020 Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li

Inquisitive probing questions come naturally to humans in a variety of settings, but is a challenging task for automatic systems.

Question Generation Question-Generation +2

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