Co-occurring keywords · papers mentioning both
Papers
Measuring axiomatic soundness of counterfactual image models
ICLR 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
NeurIPS 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations
ICML 2023
Transfer learning for individual treatment effect estimation
UAI 2023
Causal Classification: Treatment Effect Estimation vs. Outcome Prediction
JMLR 2022
Causal Inference Through the Structural Causal Marginal Problem
ICML 2022
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
ICML 2022
Counterfactual inference of second Opinions
UAI 2022
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
NeurIPS 2022
Deep Counterfactual Estimation with Categorical Background Variables
NeurIPS 2022
Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes
EMNLP 2022
Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference
EMNLP 2022
Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows
AAAI 2022
VACA: Designing Variational Graph Autoencoders for Causal Queries
AAAI 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
NeurIPS 2022
A Causal Lens for Controllable Text Generation
NeurIPS 2021
A Language for Counterfactual Generative Models
ICML 2021
Counterfactual Data Augmentation for Neural Machine Translation
NAACL 2021
Counterfactual Inference for Text Classification Debiasing
ACL 2021
Counterfactual Mean Embeddings
JMLR 2021
Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer
ACL 2021
Counterfactual VQA: A Cause-Effect Look at Language Bias
CVPR 2021
HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge
EMNLP 2021
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
AAAI 2020
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models
ICML 2020