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Causal Inference

523 directly classified papers

Papers per year

Papers

Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens EMNLP 2022
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering EMNLP 2022
Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference EMNLP 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models NIPS 2022
Sample Constrained Treatment Effect Estimation NIPS 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints NIPS 2022
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NIPS 2022
Falsification before Extrapolation in Causal Effect Estimation NIPS 2022
When Does Group Invariant Learning Survive Spurious Correlations? NIPS 2022
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge NIPS 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization NIPS 2022
Empirical Gateaux Derivatives for Causal Inference NIPS 2022
Generalization Bounds for Estimating Causal Effects of Continuous Treatments NIPS 2022
Off-Policy Evaluation for Action-Dependent Non-stationary Environments NIPS 2022
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge NIPS 2022
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media NIPS 2022
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation NIPS 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis NIPS 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies NIPS 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction NIPS 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation NIPS 2022
Verification and search algorithms for causal DAGs NIPS 2022
Causal Inference with Non-IID Data using Linear Graphical Models NIPS 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NIPS 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling NIPS 2022