structural causal model

Weakly Supervised Disentangled Generative Causal Representation Learning JMLR 2022 A Causal Lens for Controllable Text Generation NeurIPS 2021 A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021 An Analysis of the Adaptation Speed of Causal Models AISTATS 2021 Answering Complex Causal Queries With the Maximum Causal Set Effect NeurIPS 2021 A Topological Perspective on Causal Inference NeurIPS 2021 Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions AISTATS 2021 Causal Effect Inference for Structured Treatments NeurIPS 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models CVPR 2021 Conditional independences and causal relations implied by sets of equations JMLR 2021 Confidence in causal discovery with linear causal models UAI 2021 Counterfactual Data Augmentation for Neural Machine Translation NAACL 2021 Counterfactual Maximum Likelihood Estimation for Training Deep Networks NeurIPS 2021 De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention ACL 2021 DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks NeurIPS 2021 Domain adaptation under structural causal models JMLR 2021 Domain Generalization using Causal Matching ICML 2021 Element Intervention for Open Relation Extraction ACL 2021 Equivalent Causal Models AAAI 2021 Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention EMNLP 2021 Improving Causal Inference by Increasing Model Expressiveness AAAI 2021 Inference of causal effects when control variables are unknown UAI 2021 Instance-dependent Label-noise Learning under a Structural Causal Model NeurIPS 2021 Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models NeurIPS 2021 Learning Generalized Gumbel-max Causal Mechanisms NeurIPS 2021