Using predictions from arbitrary models to get tighter confidence intervals

This is Jessica. I previously blogged about conformal prediction, an approach to getting prediction sets that are guaranteed on average to achieve at least some user-defined coverage level (e.g., 95%). If it’s a classification problem, the prediction sets are comprised … Continue reading → …