Conformal Prediction
147 papers with code • 0 benchmarks • 0 datasets
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Libraries
Use these libraries to find Conformal Prediction models and implementationsMost implemented papers
Conformal prediction set for time-series
When building either prediction intervals for regression (with real-valued response) or prediction sets for classification (with categorical responses), uncertainty quantification is essential to studying complex machine learning methods.
"Even if ..." -- Diverse Semifactual Explanations of Reject
In this work, we propose to explain rejects by semifactual explanations, an instance of example-based explanation methods, which them self have not been widely considered in the XAI community yet.
Improved Online Conformal Prediction via Strongly Adaptive Online Learning
salesforce/online_conformal
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We prove that our methods achieve near-optimal strongly adaptive regret for all interval lengths simultaneously, and approximately valid coverage.
Improving Adaptive Conformal Prediction Using Self-Supervised Learning
However, the use of self-supervision beyond model pretraining and representation learning has been largely unexplored.
Design-based conformal prediction
valeman/awesome-conformal-prediction
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Conformal prediction is an assumption-lean approach to generating distribution-free prediction intervals or sets, for nearly arbitrary predictive models, with guaranteed finite-sample coverage.
Conformal Prediction for Deep Classifier via Label Ranking
ml-stat-Sustech/conformal_prediction_via_label_ranking
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In this paper, we empirically and theoretically show that disregarding the probabilities' value will mitigate the undesirable effect of miscalibrated probability values.
Model-Robust Counterfactual Prediction Method
We develop a novel method for counterfactual analysis based on observational data using prediction intervals for units under different exposures.
Multi-class probabilistic classification using inductive and cross Venn-Abers predictors
Inductive (IVAP) and cross (CVAP) Venn–Abers predictors are computationally efficient algorithms for probabilistic prediction in binary classification problems.
libconform v0.1.0: a Python library for conformal prediction
This paper introduces libconform v0. 1. 0, a Python library for the conformal prediction framework, licensed under the MIT-license.
Distributional conformal prediction
We propose a robust method for constructing conditionally valid prediction intervals based on models for conditional distributions such as quantile and distribution regression.
