| D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection | May 4, 2025 | Causal DiscoveryDecision Making | —Unverified | 0 | 0 |
| DCILP: A Distributed Approach for Large-Scale Causal Structure Learning | Jun 15, 2024 | Causal DiscoveryCombinatorial Optimization | —Unverified | 0 | 0 |
| dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data | May 10, 2025 | Causal DiscoveryCausal Inference | —Unverified | 0 | 0 |
| Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding | Mar 28, 2021 | Causal Discovery | —Unverified | 0 | 0 |
| Deep Causal Learning: Representation, Discovery and Inference | Nov 7, 2022 | Causal DiscoveryCausal Inference | —Unverified | 0 | 0 |
| Deep Convolutional Neural Networks for Pairwise Causality | Jan 3, 2017 | AttributeCausal Discovery | —Unverified | 0 | 0 |
| Deep End-to-end Causal Inference | Feb 4, 2022 | Causal DiscoveryCausal Inference | —Unverified | 0 | 0 |
| Demystifying amortized causal discovery with transformers | May 27, 2024 | Causal Discovery | —Unverified | 0 | 0 |
| Detecting Causality in the Frequency Domain with Cross-Mapping Coherence | Jul 30, 2024 | Causal DiscoveryTime Series | —Unverified | 0 | 0 |
| Detection of Unobserved Common Causes based on NML Code in Discrete, Mixed, and Continuous Variables | Mar 11, 2024 | Causal DiscoveryModel Selection | —Unverified | 0 | 0 |
