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Causal Inference

3310 directly classified papers

Papers per year

Papers

Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments ICML 2022
Tell me why! Explanations support learning relational and causal structure ICML 2022
The Role of Deconfounding in Meta-learning ICML 2022
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning IJCNLP 2022
Modeling Document-level Temporal Structures for Building Temporal Dependency Graphs IJCNLP 2022
Causal Inference Through the Structural Causal Marginal Problem ICML 2022
Deep Causal Metric Learning ICML 2022
Counterfactual Transportability: A Formal Approach ICML 2022
Entropic Causal Inference: Graph Identifiability ICML 2022
Context-Aware Drift Detection ICML 2022
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning ACL 2022
Causal Imitation Learning under Temporally Correlated Noise ICML 2022
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022
Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference EMNLP 2022
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation ICML 2022
Neural score matching for high-dimensional causal inference AISTATS 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations ICML 2022
Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS 2022
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting AAAI 2022
A query-optimal algorithm for finding counterfactuals ICML 2022
Online Balanced Experimental Design ICML 2022
Minimum Cost Intervention Design for Causal Effect Identification ICML 2022
Individual Preference Stability for Clustering ICML 2022
Partial disentanglement for domain adaptation ICML 2022
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge AISTATS 2022