Zhi Geng
21 papers · 2008–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (17)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(5)
👑
Triple Crown
🗃️
Keyword Collector
(51)
⚡
Prolific Year
(8)
📈
Trend Setter
💎
Century Club
(21)
Conferences
ICML (9)
JMLR (5)
NIPS (3)
ICLR (2)
UAI (2)
Top co-authors
Keywords
causal inference
(4)
causal discovery
(4)
graphical model
(3)
causal structure
(3)
latent variable
(2)
structural learning
(2)
bayesian network
(2)
directed acyclic graph
(2)
causal network
(2)
causal effect
(2)
hierarchical model
(1)
latent variable model
(1)
multi-task learning
(1)
structural causal model
(1)
optimal design
(1)
hidden confounding
(1)
counterfactual reasoning
(1)
propensity score
(1)
essential graph
(1)
hierarchical structure
(1)
Papers
Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
ICML 2025
Causal Attribution Analysis for Continuous Outcomes
ICML 2025
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
ICML 2025
Local Identifying Causal Relations in the Presence of Latent Variables
ICML 2025
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
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
NIPS 2024
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
ICML 2024
Automating the Selection of Proxy Variables of Unmeasured Confounders
ICML 2024
Local Causal Structure Learning in the Presence of Latent Variables
ICML 2024
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
NIPS 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
ICLR 2024
Conditional counterfactual causal effect for individual attribution
UAI 2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
ICML 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
NIPS 2023
Identification of Linear Non-Gaussian Latent Hierarchical Structure
ICML 2022
Local Causal Network Learning for Finding Pairs of Total and Direct Effects
JMLR 2020
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects
UAI 2020
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs
JMLR 2008
Structural Learning of Chain Graphs via Decomposition
JMLR 2008
A Recursive Method for Structural Learning of Directed Acyclic Graphs
JMLR 2008