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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

Identifying Causal Relationships Between Behavior and Local Brain Activity During Natural Conversation INTERSPEECH 2020
GLUCOSE: GeneraLized and COntextualized Story Explanations EMNLP 2020
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training ICML 2020
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 2020
Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies AAAI 2020
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models AAAI 2020
Regret Analysis of Bandit Problems with Causal Background Knowledge UAI 2020
Invariant Causal Prediction for Block MDPs ICML 2020
Explainable Agency in Reinforcement Learning Agents AAAI 2020
Causal Inference of Script Knowledge EMNLP 2020
Exploring Logically Dependent Multi-task Learning with Causal Inference EMNLP 2020
Efficient Policy Learning from Surrogate-Loss Classification Reductions ICML 2020
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing CVPR 2020
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability NIPS 2020
Learning and Sampling of Atomic Interventions from Observations ICML 2020
Multi-task Causal Learning with Gaussian Processes NIPS 2020
General Control Functions for Causal Effect Estimation from IVs NIPS 2020
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NIPS 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models NIPS 2020
Event-Driven Continuous Time Bayesian Networks AAAI 2020
Multi-Label Causal Feature Selection AAAI 2020
A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments AAAI 2020
Distributionally Robust Counterfactual Risk Minimization AAAI 2020
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets AAAI 2020
Counterfactual Data Augmentation using Locally Factored Dynamics NIPS 2020