| pgmpy: A Python Toolkit for Bayesian Networks | Apr 17, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 4 | 5 |
| Invariant Representation Learning for Treatment Effect Estimation | Nov 24, 2020 | Causal IdentificationCausal Inference | CodeCode Available | 1 | 5 |
| Identifying while Learning for Document Event Causality Identification | May 31, 2024 | Causal IdentificationEvent Causality Identification | CodeCode Available | 1 | 5 |
| The Causal-Neural Connection: Expressiveness, Learnability, and Inference | Jul 2, 2021 | Causal IdentificationCausal Inference | CodeCode Available | 1 | 5 |
| Adapting Text Embeddings for Causal Inference | May 29, 2019 | Causal IdentificationCausal Inference | CodeCode Available | 1 | 5 |
| Causal Discovery from Subsampled Time Series with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| BISCUIT: Causal Representation Learning from Binary Interactions | Jun 16, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| Causal Discovery via Conditional Independence Testing with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| Neural Network Parameter-optimization of Gaussian pmDAGs | Sep 25, 2023 | Causal IdentificationCausal Inference | CodeCode Available | 0 | 5 |
| Hierarchical Causal Models | Jan 10, 2024 | Causal Identification | CodeCode Available | 0 | 5 |
