data-generating process
- Causal Mixture Models: Characterization and Discovery
- CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
- Conformal Prediction for Time-series Forecasting with Change Points
- Differentiable Structure Learning and Causal Discovery for General Binary Data
- Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference