| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 | 5 |
| Causal Discovery via Bayesian Optimization | Jan 25, 2025 | Bayesian OptimizationCausal Discovery | CodeCode Available | 1 | 5 |
| Active Bayesian Causal Inference | Jun 4, 2022 | Active LearningCausal Discovery | CodeCode Available | 1 | 5 |
| BISCUIT: Causal Representation Learning from Binary Interactions | Jun 16, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions | Jun 2, 2021 | Causal DiscoveryKnowledge Graphs | CodeCode Available | 1 | 5 |
| Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery | Jan 18, 2023 | Causal Discoverysoftware testing | CodeCode Available | 1 | 5 |
| Adjustment Identification Distance: A gadjid for Causal Structure Learning | Feb 13, 2024 | Causal Discovery | CodeCode Available | 1 | 5 |
| Causal Autoregressive Flows | Nov 4, 2020 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| A Meta-Reinforcement Learning Algorithm for Causal Discovery | Jul 18, 2022 | Causal DiscoveryMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| Causal Discovery from Subsampled Time Series with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
