| Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization | Feb 3, 2023 | Causal DiscoveryTime Series | —Unverified | 0 | 0 |
| High-recall causal discovery for autocorrelated time series with latent confounders | Jul 3, 2020 | Causal DiscoveryTime Series | —Unverified | 0 | 0 |
| Hokey Pokey Causal Discovery: Using Deep Learning Model Errors to Learn Causal Structure | Jan 1, 2021 | Causal Discovery | —Unverified | 0 | 0 |
| Huber Additive Models for Non-stationary Time Series Analysis | Sep 29, 2021 | Additive modelsCausal Discovery | —Unverified | 0 | 0 |
| Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets | Sep 21, 2023 | Causal DiscoveryCausal Inference | —Unverified | 0 | 0 |
| Hybrid Local Causal Discovery | Dec 27, 2024 | Causal Discovery | —Unverified | 0 | 0 |
| Identifiable Multi-View Causal Discovery Without Non-Gaussianity | Feb 27, 2025 | Causal DiscoveryDiversity | —Unverified | 0 | 0 |
| Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model | Dec 19, 2023 | Causal DiscoveryMissing Values | —Unverified | 0 | 0 |
| Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants | Dec 19, 2023 | Causal Discovery | —Unverified | 0 | 0 |
| Identification of Latent Variables From Graphical Model Residuals | Jan 7, 2021 | Causal Discovery | —Unverified | 0 | 0 |
