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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

Recovering Latent Causal Factor for Generalization to Distributional Shifts NIPS 2021
Learning latent causal graphs via mixture oracles NIPS 2021
Matching a Desired Causal State via Shift Interventions NIPS 2021
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NIPS 2021
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits NIPS 2021
Double/Debiased Machine Learning for Dynamic Treatment Effects NIPS 2021
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms NIPS 2021
Causal Bandits with Unknown Graph Structure NIPS 2021
Causal Effect Inference for Structured Treatments NIPS 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NIPS 2021
Local explanations via necessity and sufficiency: unifying theory and practice UAI 2021
Causal and interventional Markov boundaries UAI 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) ICML 2021
Instance-dependent Label-noise Learning under a Structural Causal Model NIPS 2021
Causal Abstractions of Neural Networks NIPS 2021
The Causal-Neural Connection: Expressiveness, Learnability, and Inference NIPS 2021
Causal Navigation by Continuous-time Neural Networks NIPS 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models NIPS 2021
On Inductive Biases for Heterogeneous Treatment Effect Estimation NIPS 2021
DiBS: Differentiable Bayesian Structure Learning NIPS 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks NIPS 2021
Independent mechanism analysis, a new concept? NIPS 2021
Sequential Causal Imitation Learning with Unobserved Confounders NIPS 2021
Efficient Online Estimation of Causal Effects by Deciding What to Observe NIPS 2021
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NIPS 2021