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Found 2 papers, 1 papers with code
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Constructing valid prediction intervals rather than point estimates is a well-established approach for uncertainty quantification in the regression setting.
Retrieval-Augmented Thought Process as Sequential Decision Making
Large Language Models (LLMs) have demonstrated their strong ability to assist people and show "sparks of intelligence".
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