prediction sets
A method for quantifying uncertainty by generating a set of possible outcomes for a given input rather than a single prediction. This helps in scenarios where understanding the range of possible predictions is essential.
- Backward Conformal Prediction
- Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
- Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
- Exploring the Noise Robustness of Online Conformal Prediction
- Synthetic-powered predictive inference
- Topology-Aware Conformal Prediction for Stream Networks
- Transductive Conformal Inference for Full Ranking
- Valid Selection among Conformal Sets