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causal inference

1630 papers

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Also known as

CI

Co-occurring keywords

causal discovery (460) structural causal model (184) treatment effect (134) graphical model (864) counterfactual reasoning (230) representation learning (6206) observational datum (109) domain generalization (1522) causal effect (107) causal graph (140)

Papers

Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers ACL 2023
Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies ACL 2023
Pipeline for modeling causal beliefs from natural language ACL 2023
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning ACL 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention IJCAI 2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation ICML 2023
Establishing Markov equivalence in cyclic directed graphs UAI 2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification ICML 2023
Collaborative Causal Inference with Fair Incentives ICML 2023
Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NIPS 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NIPS 2022
Deep Counterfactual Estimation with Categorical Background Variables NIPS 2022
Knowledge transfer for learning subject-specific causal models PGM 2022
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings MIDL 2022
Towards IID representation learning and its application on biomedical data MIDL 2022
Robust Hate Speech Detection via Mitigating Spurious Correlations AACL 2022
Robust Direct Learning for Causal Data Fusion ACML 2022
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables JMLR 2022
Non-parametric inference of relational dependence UAI 2022
Feature selection for discovering distributional treatment effect modifiers UAI 2022
A causal bandit approach to learning good atomic interventions in presence of unobserved confounders UAI 2022
Semiparametric causal sufficient dimension reduction of multidimensional treatments UAI 2022
Robust identifiability in linear structural equation models of causal inference UAI 2022
Causal forecasting: generalization bounds for autoregressive models UAI 2022