Zhi Geng
22 papers · 2001–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (18) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
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Keyword Pioneer
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Triple Crown
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Deep Specialist
(15)
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Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
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Keyword Collector
(95)
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Trend Setter
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(16)
Core AI
(16)
Knowledge & Reasoning
(12)
Machine Learning
(12)
Reasoning
(12)
Learning Types
(6)
Data Science & Analytics
(3)
Application Areas
(3)
Applications
(3)
Core Methods
(3)
Optimization & Theory
(3)
Mathematics & Optimization
(2)
Mathematics
(2)
Representation
(2)
Healthcare & Medicine
(1)
Keywords
causal inference
(6)
causal discovery
(4)
latent variable
(4)
causal effect
(3)
graphical model
(3)
causal structure
(3)
bayesian network
(2)
causal network
(2)
instrumental variable
(2)
causal relation
(2)
structural learning
(2)
selection bia
(2)
directed acyclic graph
(2)
principal stratification
(2)
optimal design
(1)
algorithm
(1)
policy learning
(1)
hierarchical structure
(1)
causal sufficiency
(1)
attention mechanism
(1)
Papers
Causal Attribution Analysis for Continuous Outcomes
ICML 2025
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
ICML 2025
Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
ICML 2025
Local Identifying Causal Relations in the Presence of Latent Variables
ICML 2025
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
NeurIPS 2024
Automating the Selection of Proxy Variables of Unmeasured Confounders
ICML 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
ICLR 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
ICLR 2024
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
JMLR 2024
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
NeurIPS 2024
Local Causal Structure Learning in the Presence of Latent Variables
ICML 2024
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
ICML 2024
Conditional counterfactual causal effect for individual attribution
UAI 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
NeurIPS 2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
ICML 2023
Identification of Linear Non-Gaussian Latent Hierarchical Structure
ICML 2022
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects
UAI 2020
Local Causal Network Learning for Finding Pairs of Total and Direct Effects
JMLR 2020
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs
JMLR 2008
A Recursive Method for Structural Learning of Directed Acyclic Graphs
JMLR 2008
Structural Learning of Chain Graphs via Decomposition
JMLR 2008
Partial orientation and local structural learning of causal networks for prediction
AISTATS 2001