Causal Inference

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport AAAI 2024 Exploring Causal Mechanisms for Machine Text Detection Methods NAACL 2024 Exploring Defeasibility in Causal Reasoning ACL 2024 Extremely Greedy Equivalence Search UAI 2024 FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection IJCAI 2024 Faithful graphical representations of local independence AISTATS 2024 Fast Proxy Experiment Design for Causal Effect Identification NeurIPS 2024 Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation ICML 2024 Federated Causal Discovery from Heterogeneous Data ICLR 2024 Federated Causality Learning with Explainable Adaptive Optimization AAAI 2024 Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024 Foundations of Testing for Finite-Sample Causal Discovery ICML 2024 From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks ICML 2024 Functional Directed Acyclic Graphs JMLR 2024 FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NeurIPS 2024 General Identifiability and Achievability for Causal Representation Learning AISTATS 2024 Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables JMLR 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 Hacking Task Confounder in Meta-Learning IJCAI 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding COLING 2024 Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models NeurIPS 2024 Identifiability Analysis of Linear ODE Systems with Hidden Confounders NeurIPS 2024 Identifiability of Direct Effects from Summary Causal Graphs AAAI 2024 Identifiability of total effects from abstractions of time series causal graphs UAI 2024