Feng Xie
21 papers · 2019–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (14) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(18)
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Topic Evolution
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Keyword Champion
(2)
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Grand Slam
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Dynamic Duo
(10)
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Triple Crown
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
(90)
Top co-authors
Research topics
Artificial Intelligence
(19)
Core AI
(18)
Knowledge & Reasoning
(14)
Reasoning
(14)
Machine Learning
(11)
Learning Types
(9)
Optimization & Theory
(5)
Bayesian & Probabilistic Β· Machine Learning
(3)
Representation
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Learning Paradigms
(1)
Methods
(1)
Research
(1)
Keywords
causal discovery
(10)
latent variable
(8)
causal structure
(5)
causal inference
(4)
latent variable model
(4)
linear non-gaussian acyclic model
(3)
structural equation model
(2)
tensor rank
(2)
hierarchical structure
(2)
latent confounder
(2)
instrumental variable
(2)
non-gaussian noise
(2)
graphical model
(2)
hierarchical model
(2)
causal graph
(2)
independent noise
(2)
second-order statistics
(1)
gene expression
(1)
structural learning
(1)
bayesian inference
(1)
Papers
Causal Attribution Analysis for Continuous Outcomes
ICML 2025
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
ICML 2025
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
ICML 2025
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise
IJCAI 2025
Local Identifying Causal Relations in the Presence of Latent Variables
ICML 2025
Automating the Selection of Proxy Variables of Unmeasured Confounders
ICML 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
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
NeurIPS 2024
Local Causal Structure Learning in the Presence of Latent Variables
ICML 2024
Policy Learning for Balancing Short-Term and Long-Term Rewards
ICML 2024
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
ICLR 2024
Identification of Nonlinear Latent Hierarchical Models
NeurIPS 2023
MixTEA: Semi-supervised Entity Alignment with Mixture Teaching
EMNLP 2023
Some General Identification Results for Linear Latent Hierarchical Causal Structure
IJCAI 2023
Identification of Linear Latent Variable Model with Arbitrary Distribution
AAAI 2022
Identification of Linear Non-Gaussian Latent Hierarchical Structure
ICML 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints
NeurIPS 2022
Causal Discovery with Multi-Domain LiNGAM for Latent Factors
IJCAI 2021
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
NeurIPS 2020
Triad Constraints for Learning Causal Structure of Latent Variables
NeurIPS 2019