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Causal Inference

523 directly classified papers

Papers per year

Papers

Covariate balancing using the integral probability metric for causal inference ICML 2023
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NIPS 2023
Reinforcement Causal Structure Learning on Order Graph AAAI 2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions AISTATS 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning ICML 2023
Pairwise Causality Guided Transformers for Event Sequences NIPS 2023
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023
Optimal Treatment Regimes for Proximal Causal Learning NIPS 2023
Vector Causal Inference between Two Groups of Variables AAAI 2023
Efficient Enumeration of Markov Equivalent DAGs AAAI 2023
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering AAAI 2023
Causal Discovery from Subsampled Time Series with Proxy Variables NIPS 2023
Instrumental Variable Estimation of Average Partial Causal Effects ICML 2023
Detecting hidden confounding in observational data using multiple environments NIPS 2023
City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC AAAI 2023
Towards Balanced Representation Learning for Credit Policy Evaluation AISTATS 2023
Nonlinear Causal Discovery with Latent Confounders ICML 2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models NIPS 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions NIPS 2023
A Causal Framework for Decomposing Spurious Variations NIPS 2023
Approximate Causal Effect Identification under Weak Confounding ICML 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data NIPS 2023
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments NIPS 2023
Non-stationary Experimental Design under Linear Trends NIPS 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NIPS 2023