Causal Inference
636 papers
Papers per year
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5
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14
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23
39
52
63
90
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18
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Papers
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
NeurIPS 2022
Certified Robustness Against Natural Language Attacks by Causal Intervention
ICML 2022
Cluster Randomized Designs for One-Sided Bipartite Experiments
NeurIPS 2022
Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery
NeurIPS 2022
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
NeurIPS 2022
Counterfactual Prediction for Outcome-Oriented Treatments
ICML 2022
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering
EMNLP 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
NeurIPS 2022
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
NeurIPS 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
NeurIPS 2022
Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning
AAAI 2022
Deconfounded Visual Grounding
AAAI 2022
Deep Counterfactual Estimation with Categorical Background Variables
NeurIPS 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
NeurIPS 2022
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
NeurIPS 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
NeurIPS 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound
PGM 2022
Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data
AISTATS 2022
Doubly Robust Counterfactual Classification
NeurIPS 2022
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets
AAAI 2022
Empirical Gateaux Derivatives for Causal Inference
NeurIPS 2022
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
JMLR 2022
Factored Adaptation for Non-Stationary Reinforcement Learning
NeurIPS 2022
Falsification before Extrapolation in Causal Effect Estimation
NeurIPS 2022
Finding and Listing Front-door Adjustment Sets
NeurIPS 2022