Li, Jiuyong
- Treatment effect estimation with disentangled latent factors
2020/01/29 by Zhang, Weijia, Liu, Lin, Li, Jiuyong · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
2023/10/03 by Ziqi Xu, Xu, Ziqi, Debo Cheng +9 · 6 citations
Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- A unified survey of treatment effect heterogeneity modeling and uplift modeling
2020/07/14 by Zhang, Weijia, Li, Jiuyong, Liu, Lin · 3 citations
#Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- A Unified View of Causal and Non-causal Feature Selection
2018/02/16 by Kui Yu, Lin Liu, Yu, Kui +3 · 4 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multi-Criteria Decision Making #Rough Sets and Fuzzy Logic
- Causality-based Feature Selection: Methods and Evaluations
2019/11/17 by Yu, Kui, Guo, Xianjie, Liu, Lin +4 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
2023/12/12 by Debo Cheng, Cheng, Debo, Ziqi Xu +11 · 4 citations
Mathematics · Computer Science · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Statistical Methods and Inference
- Mitigating Propensity Bias of Large Language Models for Recommender Systems
2024/09/30 by Guixian Zhang, Zhang, Guixian, Guan Yuan +9 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques #Topic Modeling
- Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
2023/10/03 by Cheng, Debo, Xu, Ziqi, Li, Jiuyong +3 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- From Correlation to Causation: Max-Pooling-Based Multi-Instance Learning Leads to More Robust Whole Slide Image Classification
2024/08/18 by Xin Liu, Weijia Zhang, Liu, Xin +6 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Assessing Classifier Fairness with Collider Bias
2020/10/08 by Xu, Zhenlong, Xu, Ziqi, Liu, Jixue +5 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Causal Inference with Conditional Instruments using Deep Generative Models
2022/11/29 by Cheng, Debo, Xu, Ziqi, Li, Jiuyong +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
- Learning Conditional Instrumental Variable Representation for Causal Effect Estimation
2023/06/21 by Debo Cheng, Cheng, Debo, Ziqi Xu +9 · 1 citation
Mathematics · Computer Science · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference
- A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery
2024/06/18 by Jixue Liu, Jiuyong Li, Liu, Jixue +5 · 1 citation
Engineering · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fire Detection and Safety Systems #Impact of Light on Environment and Health #Infrared Target Detection Methodologies
- Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables
2024/08/13 by Xie, Yang, Xu, Ziqi, Cheng, Debo +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
- Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
2024/09/19 by Oscar Blessed Deho, Deho, Oscar Blessed, Michael Bewong +11 · 1 citation
Business, Management and Accounting · Decision Sciences · #Artificial Intelligence (cs.AI) #Complex Systems and Decision Making #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Supply Chain Resilience and Risk Management
- Disentangled Representation Learning for Causal Inference with Instruments
2024/12/05 by Debo Cheng, Jiuyong Li, Cheng, Debo +11 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification