causal inference

1619 papers

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Also known as

ITE IDA SCM CI CATE

Co-occurring keywords

causal discovery (459) structural causal model (182) treatment effect (134) graphical model (863) counterfactual reasoning (224) representation learning (6174) observational datum (109) domain generalization (1517) causal effect (107) causal graph (137)

Papers

De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024

Intervention and Conditioning in Causal Bayesian Networks NIPS 2024

Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024

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

Detecting and Measuring Confounding Using Causal Mechanism Shifts NIPS 2024

Topic-Aware Causal Intervention for Counterfactual Detection EMNLP 2024

HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs NAACL 2024

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

Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024

Identifiability Analysis of Linear ODE Systems with Hidden Confounders NIPS 2024

Causally Inspired Regularization Enables Domain General Representations AISTATS 2024

COLD: Causal reasOning in cLosed Daily activities NIPS 2024

Dissecting the Failure of Invariant Learning on Graphs NIPS 2024

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024

Mapping Long-term Causalities in Psychiatric Symptomatology and Life Events from Social Media NAACL 2024

Causal Representation Learning via Counterfactual Intervention AAAI 2024

On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024

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

Smoke and Mirrors in Causal Downstream Tasks NIPS 2024

DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation NIPS 2024

Causal Inference for Human-Language Model Collaboration NAACL 2024

Causal Q-Aggregation for CATE Model Selection AISTATS 2024

Improving Generalization of Dynamic Graph Learning via Environment Prompt NIPS 2024

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

Principles from Clinical Research for NLP Model Generalization NAACL 2024