Artificial Intelligence › Core AI ›

Causal Inference

3310 directly classified papers

Papers per year

Papers

Towards Learning and Explaining Indirect Causal Effects in Neural Networks AAAI 2024

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps NIPS 2024

Optimization Under Epistemic Uncertainty Using Prediction IJCAI 2024

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AAAI 2024

Reconciling Predictive and Statistical Parity: A Causal Approach AAAI 2024

Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024

A Graph Dynamics Prior for Relational Inference AAAI 2024

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024

Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data AAAI 2024

Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval AAAI 2024

Multi-Granularity Causal Structure Learning AAAI 2024

Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024

Image Content Generation with Causal Reasoning AAAI 2024

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NIPS 2024

Adversarially Balanced Representation for Continuous Treatment Effect Estimation AAAI 2024

Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024

Transportable Representations for Domain Generalization AAAI 2024

Identifying Confounding from Causal Mechanism Shifts AISTATS 2024

Causal Effect Identification in a Sub-Population with Latent Variables NIPS 2024

Limits of Approximating the Median Treatment Effect COLT 2024

Causally Inspired Regularization Enables Domain General Representations AISTATS 2024

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning AAAI 2024

A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution NAACL 2024

Rethinking Causal Relationships Learning in Graph Neural Networks AAAI 2024