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conftrace_

latent confounder

48 papers

Papers

The Price of Valid Inference After Causal Discovery UAI 2026 A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery ICLR 2025 Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables ICLR 2025 Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments UAI 2025 Causal Identification in Time Series Models CLeaR 2025 Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction IJCAI 2025 Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations ICML 2025 Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning IJCAI 2025 Proxy-informed Bayesian transfer learning with unknown sources UAI 2025 Relational Causal Discovery with Latent Confounders UAI 2025 An Efficient Maximal Ancestral Graph Listing Algorithm ICML 2024 Causal Effect Identification in LiNGAM Models with Latent Confounders ICML 2024 Causal Representation Learning Made Identifiable by Grouping of Observational Variables ICML 2024 Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams UAI 2024 Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders AAAI 2024 Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference ICML 2024 Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits NeurIPS 2024 Proxy Methods for Domain Adaptation AISTATS 2024 A Cross-Moment Approach for Causal Effect Estimation NeurIPS 2023 Causal Discovery with Latent Confounders Based on Higher-Order Cumulants ICML 2023 Causal Inference with Conditional Instruments Using Deep Generative Models AAAI 2023 Causal Matrix Completion COLT 2023 Disentangled Representation for Causal Mediation Analysis AAAI 2023 Factual Observation Based Heterogeneity Learning for Counterfactual Prediction CLeaR 2023 From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders ICML 2023