| Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery | Jan 18, 2023 | Causal Discoverysoftware testing | CodeCode Available | 1 | 5 |
| Neural graphical modelling in continuous-time: consistency guarantees and algorithms | May 6, 2021 | Causal DiscoveryGraph Learning | CodeCode Available | 1 | 5 |
| copent: Estimating Copula Entropy and Transfer Entropy in R | May 27, 2020 | BIG-bench Machine LearningCausal Discovery | CodeCode Available | 1 | 5 |
| A Ladder of Causal Distances | May 5, 2020 | BenchmarkingCausal Discovery | CodeCode Available | 1 | 5 |
| A Large Scale Search Dataset for Unbiased Learning to Rank | Jul 7, 2022 | Causal DiscoveryLanguage Modelling | CodeCode Available | 1 | 5 |
| Causal Discovery via Bayesian Optimization | Jan 25, 2025 | Bayesian OptimizationCausal Discovery | CodeCode Available | 1 | 5 |
| BayesDAG: Gradient-Based Posterior Inference for Causal Discovery | Jul 26, 2023 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game | Feb 26, 2021 | Causal Discovery | CodeCode Available | 1 | 5 |
| Causal Discovery with Language Models as Imperfect Experts | Jul 5, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 | 5 |
| Assumption violations in causal discovery and the robustness of score matching | Oct 20, 2023 | Causal Discovery | CodeCode Available | 1 | 5 |
| Autoregressive flow-based causal discovery and inference | Jul 18, 2020 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 | 5 |
| Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data | Jun 18, 2020 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Active Bayesian Causal Inference | Jun 4, 2022 | Active LearningCausal Discovery | 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 |
| Causal Discovery in Semi-Stationary Time Series | Jul 10, 2024 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 | 5 |
| A Meta-Reinforcement Learning Algorithm for Causal Discovery | Jul 18, 2022 | Causal DiscoveryMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting | Mar 6, 2023 | Bilevel OptimizationCausal Discovery | CodeCode Available | 1 | 5 |
| BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment | Jul 17, 2022 | Causal DiscoveryRobot Manipulation | CodeCode Available | 1 | 5 |
| Causal Discovery via Conditional Independence Testing with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| Causal Autoregressive Flows | Nov 4, 2020 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data | Oct 31, 2022 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| Causal Discovery from Subsampled Time Series with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models | Mar 31, 2023 | BenchmarkingCausal Discovery | CodeCode Available | 1 | 5 |
