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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

Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NIPS 2022
Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality ICML 2022
Rethinking Nonlinear Instrumental Variable Models through Prediction Validity JMLR 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NIPS 2022
DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python JMLR 2022
A Causal Debiasing Framework for Unsupervised Salient Object Detection AAAI 2022
A Causal Inference Look at Unsupervised Video Anomaly Detection AAAI 2022
Generative multitask learning mitigates target-causing confounding NIPS 2022
Robust Direct Learning for Causal Data Fusion ACML 2022
CLEAR: Generative Counterfactual Explanations on Graphs NIPS 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings NIPS 2022
Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies AISTATS 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables NIPS 2022
Causally motivated multi-shortcut identification and removal NIPS 2022
Learning Human Driving Behaviors with Sequential Causal Imitation Learning AAAI 2022
Imbalance-Aware Uplift Modeling for Observational Data AAAI 2022
Invariant Action Effect Model for Reinforcement Learning AAAI 2022
Path-Specific Objectives for Safer Agent Incentives AAAI 2022
Counterfactual Temporal Point Processes NIPS 2022
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting AAAI 2022
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models NIPS 2022
Weakly supervised causal representation learning NIPS 2022
Partial Identification of Treatment Effects with Implicit Generative Models NIPS 2022
Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022