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Causal Inference

523 directly classified papers

Papers per year

Papers

Mitigating Biases in Hate Speech Detection from A Causal Perspective EMNLP 2023
On Learning Necessary and Sufficient Causal Graphs NIPS 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NIPS 2023
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments NIPS 2023
A Causal Framework for Decomposing Spurious Variations NIPS 2023
Non-stationary Experimental Design under Linear Trends NIPS 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data NIPS 2023
Causal Discovery from Subsampled Time Series with Proxy Variables NIPS 2023
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NIPS 2023
Counterfactually Comparing Abstaining Classifiers NIPS 2023
Enhancing Event Causality Identification with Counterfactual Reasoning ACL 2023
Causal Effect Identification in Uncertain Causal Networks NIPS 2023
CLadder: Assessing Causal Reasoning in Language Models NIPS 2023
Detecting hidden confounding in observational data using multiple environments NIPS 2023
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
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media NIPS 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction NIPS 2022
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score JMLR 2022
Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable JMLR 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation NIPS 2022
Causal Classification: Treatment Effect Estimation vs. Outcome Prediction JMLR 2022
Empirical Gateaux Derivatives for Causal Inference NIPS 2022
Generalization Bounds for Estimating Causal Effects of Continuous Treatments NIPS 2022