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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

Assessing Learned Representations under Open-World Novelty AAAI 2023
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees AISTATS 2023
Learning Event-Relevant Factors for Video Anomaly Detection AAAI 2023
Generator Identification for Linear SDEs with Additive and Multiplicative Noise NIPS 2023
Multiply Robust Federated Estimation of Targeted Average Treatment Effects NIPS 2023
Causal normalizing flows: from theory to practice NIPS 2023
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions NIPS 2023
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract) AAAI 2023
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering AAAI 2023
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments NIPS 2023
No time to waste: practical statistical contact tracing with few low-bit messages AISTATS 2023
Rank-Based Causal Discovery for Post-Nonlinear Models AISTATS 2023
Intervention Generalization: A View from Factor Graph Models NIPS 2023
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective AAAI 2023
Video-Audio Domain Generalization via Confounder Disentanglement AAAI 2023
Interventional Causal Representation Learning ICML 2023
Counterfactually Comparing Abstaining Classifiers NIPS 2023
Detecting hidden confounding in observational data using multiple environments NIPS 2023
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NIPS 2023
Zero-shot causal learning NIPS 2023
Fault Injection Based Interventional Causal Learning for Distributed Applications AAAI 2023
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation NSDI 2023
Estimating Propensity for Causality-based Recommendation without Exposure Data NIPS 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NIPS 2023
Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance AAAI 2023