Sequential inductive prediction intervals
In this paper we explore the concept of sequential inductive prediction intervals using theory from sequential testing. We furthermore introduce a 3-parameter PAC definition of prediction intervals that allows us via simulation to achieve almost sharp bounds with high probability.
Code (0)
등록된 구현이 없습니다.
Tasks
PredictionPrediction IntervalsSimilar Papers 제목 키워드 기반
Conformal Regression in Calorie Prediction for Team Jumbo-Visma
UCI WorldTour races, the premier men's elite road cycling tour, are grueling events that put physical fitness and endurance of riders to the test. The coaches of Team Jumbo-Visma have long been responsible for predicting…
Conformal PredictionDecision MakingPredictionPrediction Intervals+2Reliable Probability Intervals For Classification Using Inductive Venn Predictors Based on Distance Learning
Deep neural networks are frequently used by autonomous systems for their ability to learn complex, non-linear data patterns and make accurate predictions in dynamic environments. However, their use as black boxes introdu…
image-classificationImage ClassificationMetric LearningReliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning
By generating prediction intervals (PIs) to quantify the uncertainty of each prediction in deep learning regression, the risk of wrong predictions can be effectively controlled. High-quality PIs need to be as narrow as p…
Prediction IntervalsregressionConformal prediction interval for dynamic time-series
We develop a method to construct distribution-free prediction intervals for dynamic time-series, called \Verb|EnbPI| that wraps around any bootstrap ensemble estimator to construct sequential prediction intervals. \Verb|…
Conformal PredictionEnsemble LearningPredictionPrediction Intervals+4Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
We introduce a method which enables a recurrent dynamics model to be temporally abstract. Our approach, which we call Adaptive Skip Intervals (ASI), is based on the observation that in many sequential prediction tasks, t…
Computational EfficiencyPredictionPrediction Intervals