Causal Inference
3,958 papers
Papers per year
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Papers
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation
NeurIPS 2024
Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment
CLeaR 2024
Explanation Extraction from Hierarchical Classification Frameworks for Long Legal Documents
NAACL 2024
Explicit Inductive Inference using Large Language Models
EMNLP 2024
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
ICLR 2024
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
AAAI 2024
Exploiting Representation Curvature for Boundary Detection in Time Series
NeurIPS 2024
Exploring Defeasibility in Causal Reasoning
ACL 2024
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
EMNLP 2024
Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data
NeurIPS 2024
Extracting the Multiscale Causal Backbone of Brain Dynamics
CLeaR 2024
Extremely Greedy Equivalence Search
UAI 2024
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics
WACV 2024
Fact Checking Beyond Training Set
NAACL 2024
Fact-Driven Logical Reasoning for Machine Reading Comprehension
AAAI 2024
FADES: Fair Disentanglement with Sensitive Relevance
CVPR 2024
FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection
IJCAI 2024
Faithful graphical representations of local independence
AISTATS 2024
Fast Proxy Experiment Design for Causal Effect Identification
NeurIPS 2024
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
AAAI 2024
Federated Causality Learning with Explainable Adaptive Optimization
AAAI 2024
Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models
AISTATS 2024
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
CLeaR 2024
Finding the Causality of an Event in News Articles
COLING 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
ICML 2024