Causal Inference
1,197 papers
Papers per year
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35
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Papers
Causal discovery with endogenous context variables
NeurIPS 2024
Causal Discovery with Fewer Conditional Independence Tests
ICML 2024
Causal Discovery with Generalized Linear Models through Peeling Algorithms
JMLR 2024
Causal Effect Identification in a Sub-Population with Latent Variables
NeurIPS 2024
Causal Effect Identification in LiNGAM Models with Latent Confounders
ICML 2024
Causal effects of intervening variables in settings with unmeasured confounding
JMLR 2024
Causal Imitation for Markov Decision Processes: a Partial Identification Approach
NeurIPS 2024
Causal Inference from Competing Treatments
ICML 2024
Causal Inference out of Control: Estimating Performativity without Treatment Randomization
ICML 2024
Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference
ICML 2024
Causality Based Front-door Defense Against Backdoor Attack on Language Models
ICML 2024
Causal-learn: Causal Discovery in Python
JMLR 2024
Causally Aware Generative Adversarial Networks for Light Pollution Control
AAAI 2024
Causal Modeling with Stationary Diffusions
AISTATS 2024
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention
IJCAI 2024
Causal Q-Aggregation for CATE Model Selection
AISTATS 2024
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
ICML 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction
NeurIPS 2024
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting
ACL 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
ICML 2024
CHECKWHY: Causal Fact Verification via Argument Structure
ACL 2024
CNEQ: Incorporating numbers into Knowledge Graph Reasoning
EMNLP 2024
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
ICML 2024
Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
ICML 2024
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
NeurIPS 2024