causal inference

Causal normalizing flows: from theory to practice NeurIPS 2023 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning ICLR 2023 Causal Recurrent Variational Autoencoder for Medical Time Series Generation AAAI 2023 CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation NSDI 2023 Causal Strategic Classification: A Tale of Two Shifts ICML 2023 CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation ICCV 2023 CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation ACL 2023 CLadder: Assessing Causal Reasoning in Language Models NeurIPS 2023 CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments NeurIPS 2023 Clustering and Structural Robustness in Causal Diagrams JMLR 2023 CMVAE: Causal Meta VAE for Unsupervised Meta-Learning AAAI 2023 COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering AAAI 2023 COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective ACL 2023 Collaborative Causal Inference with Fair Incentives ICML 2023 Combinatorial Causal Bandits AAAI 2023 Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models AISTATS 2023 Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions NeurIPS 2023 Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects ICML 2023 Compositional Probabilistic and Causal Inference using Tractable Circuit Models AISTATS 2023 Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers ACL 2023 Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NeurIPS 2023 Context De-Confounded Emotion Recognition CVPR 2023 Context-Specific Causal Discovery for Categorical Data Using Staged Trees AISTATS 2023 Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers ACL 2023 Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification ICML 2023