conftrace_

latent confounder

33 papers

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Co-occurring keywords

causal inference (1630) causal discovery (460) causal effect (107) graphical model (864) latent variable (541) proxy variable (14) maximal ancestral graph (7) instrumental variable (75) causal graph (140) causal identification (37)

Papers

Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction IJCAI 2025
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning IJCAI 2025
Proxy Methods for Domain Adaptation AISTATS 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders AAAI 2024
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits NIPS 2024
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants ICML 2023
Nonlinear Causal Discovery with Latent Confounders ICML 2023
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders ICML 2023
Causal Inference with Conditional Instruments Using Deep Generative Models AAAI 2023
Disentangled Representation for Causal Mediation Analysis AAAI 2023
Causal Matrix Completion COLT 2023
A Cross-Moment Approach for Causal Effect Estimation NIPS 2023
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction CLEAR 2023
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge NIPS 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound PGM 2022
Greedy equivalence search in the presence of latent confounders UAI 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints NIPS 2022
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NIPS 2021
Causal Modeling with Stochastic Confounders AISTATS 2021
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias NIPS 2021
Collaborative Causal Discovery with Atomic Interventions NIPS 2021
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders NIPS 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021
Structure Learning for Cyclic Linear Causal Models UAI 2020
RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders AISTATS 2020