Causal Inference
636 papers
Papers per year
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52
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90
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Papers
Causal Contrastive Learning for Counterfactual Regression Over Time
NeurIPS 2024
Causal Discovery from Event Sequences by Local Cause-Effect Attribution
NeurIPS 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
AAAI 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
EMNLP 2024
Causal discovery with endogenous context variables
NeurIPS 2024
Causal-Driven Skill Prerequisite Structure Discovery
AAAI 2024
Causal Effect Identification in a Sub-Population with Latent Variables
NeurIPS 2024
Causal Estimation of Memorisation Profiles
ACL 2024
Causal Modeling with Stationary Diffusions
AISTATS 2024
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
CVPR 2024
Causal Representation Learning via Counterfactual Intervention
AAAI 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction
NeurIPS 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
NeurIPS 2024
Consistency of Neural Causal Partial Identification
NeurIPS 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation
AAAI 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
NeurIPS 2024
Covariate Shift Corrected Conditional Randomization Test
NeurIPS 2024
DAG-Informed Structure Learning from Multi-Dimensional Point Processes
JMLR 2024
Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables
NeurIPS 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
ICLR 2024
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention
ACL 2024
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
ICLR 2024
Detecting and Measuring Confounding Using Causal Mechanism Shifts
NeurIPS 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
UAI 2024
DiffPO: A causal diffusion model for learning distributions of potential outcomes
NeurIPS 2024