Rising Stars #10 - Special Series on Conformal Prediction: Isaac Gibbs (Stanford University)
Uncertainty Quantification (1): Enter Conformal Predictors
A Tutorial on Conformal Prediction Part 2: Conditional Coverage and Diagnostics
Is a 99% accurate ML model actually trustable Conformal Predictions
Tutorial on Conformal Prediction Part 3: Beyond Conformal Prediction
Prediction Intervals with Conformal Inference: An Intuitive Explanation
Conformal Prediction for Time Series: Uncertainty Quantification for Trustworthy Systems
Detailed Analysis
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Last Updated: September 30, 2026
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Summary
This two-part tutorial will introduce the framework of Getting prediction intervals with Recorded at PyCon DE & PyData 2025, April 23, 2025 2025.pycon.de/program/FGEUJJ/ An animated walkthrough of the ICML 2024 tutorial "Distribution-Free Predictive Uncertainty Quantification: Strengths and Limits of ... Channel's GitHub page hosting Jupyter Notebook: github.com/mtorabirad/MLBoost In this video, we explore the concept of ... "We can't trust a 99% accurate model. Why?" We are excited to announce that Soumyajoy Kundu, a data scientist from Chennai ... Here we discuss our recent works on controlling error rates other than coverage --- such as the false-discovery rate, ...