causal inference

Amortized Active Causal Induction with Deep Reinforcement Learning NeurIPS 2024 An effective framework for estimating individualized treatment rules NeurIPS 2024 An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series ICML 2024 An engine not a camera: Measuring performative power of online search NeurIPS 2024 A Neural Framework for Generalized Causal Sensitivity Analysis ICLR 2024 A New Paradigm for Counterfactual Reasoning in Fairness and Recourse IJCAI 2024 An Information-Flow Perspective on Algorithmic Fairness AAAI 2024 A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding NeurIPS 2024 “Any Other Thoughts, Hedgehog?” Linking Deliberation Chains in Collaborative Dialogues EMNLP 2024 A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution NAACL 2024 A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect EMNLP 2024 A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables JMLR 2024 Assessing the Overall and Partial Causal Well-Specification of Nonlinear Additive Noise Models JMLR 2024 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024 Auditing Fairness under Unobserved Confounding AISTATS 2024 AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments EMNLP 2024 A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error ICLR 2024 Axiomatic effect propagation in structural causal models JMLR 2024 Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations AAAI 2024 Backtracing: Retrieving the Cause of the Query EACL 2024 Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation ICLR 2024 Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference ICLR 2024 Benchmarking Counterfactual Image Generation NeurIPS 2024 Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NeurIPS 2024 Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024