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Causal Inference

523 directly classified papers

Papers per year

Papers

Stable Learning via Sparse Variable Independence AAAI 2023
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments AAAI 2023
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach AAAI 2023
Causal Recurrent Variational Autoencoder for Medical Time Series Generation AAAI 2023
Efficient SAGE Estimation via Causal Structure Learning AISTATS 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders AAAI 2023
Stable Estimation of Heterogeneous Treatment Effects ICML 2023
Improvement-Focused Causal Recourse (ICR) AAAI 2023
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ICML 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023
DRCFS: Doubly Robust Causal Feature Selection ICML 2023
Causal Effect Identification in Uncertain Causal Networks NIPS 2023
Collaborative Causal Inference with Fair Incentives ICML 2023
Rank-Based Causal Discovery for Post-Nonlinear Models AISTATS 2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation ICML 2023
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints NIPS 2023
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NIPS 2023
Causal Inference with Conditional Instruments Using Deep Generative Models AAAI 2023
Estimating Average Causal Effects from Patient Trajectories AAAI 2023
Identifying Selection Bias from Observational Data AAAI 2023
Counterfactually Comparing Abstaining Classifiers NIPS 2023
CLadder: Assessing Causal Reasoning in Language Models NIPS 2023
Mitigating Biases in Hate Speech Detection from A Causal Perspective EMNLP 2023
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023
Covariate balancing using the integral probability metric for causal inference ICML 2023