Causal Effect

Causal effect estimation aims to determine the impact of an intervention or treatment on an outcome, accounting for confounding factors that might obscure the true relationship. Current research focuses on improving estimation accuracy and robustness, particularly in complex settings with high-dimensional data, multiple treatments, and unobserved variables, employing techniques like double machine learning, graph neural networks, and Bayesian methods. These advancements are crucial for reliable causal inference across diverse fields, enabling more informed decision-making in areas such as healthcare, social sciences, and business, where understanding cause-and-effect relationships is paramount.

Papers

January 30, 2024

CaMU: Disentangling Causal Effects in Deep Model Unlearning
Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu
Causal Effect Machine Unlearning Unlearning Framework Harmful Unlearning Causal Influence

January 20, 2024

Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable
Yuta Kawakami, Manabu Kuroki, Jin Tian
Estimation Task Person Identification Causal Effect Heterogeneous Treatment Effect Conditional Average Treatment Effect Instrumental Variable Unobserved Heterogeneity

January 16, 2024

DCRMTA: Unbiased Causal Representation for Multi-touch Attribution
Jiaming Tang
Causal Effect Causal Representation Estimation Performance Deep Causal Click Model Causal Deep Learning Multi Touch Attribution

January 12, 2024

Deep Learning With DAGs
Sourabh Balgi, Adel Daoud, Jose M. Peña, Geoffrey T. Wodtke, Jesse Zhou
Deep Learning Causal Inference Causal Effect Causal Relationship Directed Acyclic Graph Parametric Causal Graphical Normalizing Flow

January 4, 2024

Disentangle Estimation of Causal Effects from Cross-Silo Data
Yuxuan Liu, Haozhao Wang, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang
Causal Effect Disentanglement Capability Causal Effect Estimation Estimation Bias Local Effect

January 1, 2024

Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach
Shuang Li, Ziyuan Pu, Zhiyong Cui, Seunghyeon Lee, Xiucheng Guo, Dong Ngoduy
Causal Effect Structural Causal Model Heterogeneous Treatment Effect Causal Machine Learning Urban Traffic CRASH Bug Robust Causal

December 18, 2023

Estimation of individual causal effects in network setup for multiple treatments
Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar, Naoyuki Onoe
Estimation Task Causal Effect Text Based Confounders Individual Treatment Effect Representation Gap

December 16, 2023

The Causal Impact of Credit Lines on Spending Distributions
Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang
Causal Effect Inverse Propensity Weighting Consumer Credit

December 14, 2023

Temporal-Spatial Entropy Balancing for Causal Continuous Treatment-Effect Estimation
Tao Hu, Honglong Zhang, Fan Zeng, Min Du, XiangKun Du, Yue Zheng, Quanqi Li, Mengran Zhang, Dan Yang, Jihao Wu
Causal Effect Treatment Effect Causal Direction Spatial Entropy

December 6, 2023

Hidden yet quantifiable: A lower bound for confounding strength using randomized trials
Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang
Synthetic Data Causal Effect Estimated Team Strength Hidden Knowledge Personalized Medicine Observational Study Generalizing Clinical Trial

November 28, 2023

Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions
Xinhong Chen, Zongxi Li, Yaowei Wang, Haoran Xie, Jianping Wang, Qing Li
Causal Effect Causal Relationship Experienced Emotion Sufficient Condition Clause Recommendation

November 23, 2023

Identification for Tree-shaped Structural Causal Models in Polynomial Time
Aaryan Gupta, Markus Bläser
Person Identification Causal Effect Structural Causal Model Polynomial Time Causal Parameter

November 13, 2023

Towards Bounding Causal Effects under Markov Equivalence
Alexis Bellot
Causal Effect Markov Equivalence Class Causal Constraint

November 9, 2023

Causal Inference from Text: Unveiling Interactions between Variables
Yuxiang Zhou, Yulan He
Text Modality Causal Inference Causal Effect Latent Feature Relevant Covariates Variable Model Biased Causal Effect Non Confounding Covariates Deep Interaction

November 5, 2023

CausalCite: A Causal Formulation of Paper Citations
Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf
Causal Effect Causal Approach Multiple Citation

October 31, 2023

Text-Transport: Toward Learning Causal Effects of Natural Language
Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael
Natural Language Causal Inference Causal Effect Real Text Word Causal Parameter

October 25, 2023

CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression
Masahiro Kato, Masaaki Imaizumi
High Dimensional Causal Inference Causal Effect Conditional Average Treatment Effect Standard LASSO LASSO Regression

October 23, 2023

Improved K-mer Based Prediction of Protein-Protein Interactions With Chaos Game Representation, Deep Learning and Reduced Representation Bias
Ruth Veevers, Dan MacLean
Deep Learning Causal Effect Protein Protein Interaction Unseen Bird Specie Interaction Datasets K Mer Biological Process Game Representation

October 17, 2023