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Causal Inference

3310 directly classified papers

Papers per year

Papers

Formal Logic Enabled Personalized Federated Learning through Property Inference AAAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024
Self-Compatibility: Evaluating Causal Discovery without Ground Truth AISTATS 2024
Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data AAAI 2024
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network AAAI 2024
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models JMLR 2024
BeLeaf: Belief Prediction as Tree Generation NAACL 2024
Causal-learn: Causal Discovery in Python JMLR 2024
Differentially Private Conditional Independence Testing AISTATS 2024
A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect EMNLP 2024
VarDial Evaluation Campaign 2024: Commonsense Reasoning in Dialects and Multi-Label Similar Language Identification NAACL 2024
Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis EMNLP 2024
Epistemic Logic Programs: Non-Ground and Counting Complexity IJCAI 2024
Association Pattern-aware Fusion for Biological Entity Relationship Prediction NIPS 2024
Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation NIPS 2024
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data AISTATS 2024
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse IJCAI 2024
Physics-Aware Hand-Object Interaction Denoising CVPR 2024
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts EMNLP 2024
Faithful graphical representations of local independence AISTATS 2024
TempoFormer: A Transformer for Temporally-aware Representations in Change Detection EMNLP 2024
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation IJCAI 2024
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024
Causal Imitation for Markov Decision Processes: a Partial Identification Approach NIPS 2024