Tian, Jin
- Probabilities of Causation: Bounds and Identification
2000/10/01 by Jin Tian, Judea Pearl, Tian, Jin +1 · 1 voice · 11 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Causal Discovery from Changes
2013/01/10 by Jin Tian, Tian, Jin, Judea Pearl +1 · 12 citations
Computer Science · #Bayesian Modeling and Causal Inference #Data Mining Algorithms and Applications #Rough Sets and Fuzzy Logic
- Partial Counterfactual Identification from Observational and Experimental Data
2021/10/12 by Zhang, Junzhe, Tian, Jin, Bareinboim, Elias · 7 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Causal Effect Identification in Cluster DAGs
2022/02/22 by Anand, Tara V., Ribeiro, Adèle H., Tian, Jin +1 · 6 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
- Identifying Dynamic Sequential Plans
2012/06/13 by Jin Tian, Tian, Jin · 3 citations
Computer Science · Decision Sciences · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences
- Computing Posterior Probabilities of Structural Features in Bayesian Networks
2012/05/09 by Tian, Jin, He, Ru · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Inequality Constraints in Causal Models with Hidden Variables
2012/06/27 by Changsung Kang, Kang, Changsung, Jin Tian +1 · 2 citations
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference
- Adjustment Criteria for Recovering Causal Effects from Missing Data
2019/07/02 by Saadati, Mojdeh, Tian, Jin · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- On the Testable Implications of Causal Models with Hidden Variables
2012/12/12 by Tian, Jin, Pearl, Judea · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Supervised Whole DAG Causal Discovery
2020/06/08 by Hebi Li, Li, Hebi, Qi Xiao +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Biomedical Text Mining and Ontologies #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Data Poisoning Attacks and Defenses to Crowdsourcing Systems
2021/02/18 by Minghong Fang, Fang, Minghong, Minghao Sun +9 · 1 citation
Computer Science · #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
- Finding and Listing Front-door Adjustment Sets
2022/10/11 by Hyunchai Jeong, Jeong, Hyunchai, Jin Tian +3 · 1 citation
Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
- Improving Adversarial Robustness with Hypersphere Embedding and Angular-based Regularizations
2023/03/15 by Fakorede, Olukorede, Nirala, Ashutosh, Atsague, Modeste +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
2024/06/24 by Hu, Yaojie, Fountalis, Ilias, Tian, Jin +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
2021/09/21 by Du, Xin, Ramamoorthy, Subramanian, Duivesteijn, Wouter +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)