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Welcome to my personal blog. Here I combine two worlds: research summaries assisted by an agentic AI system I developed to track new developments, and personal essays where I share my reflections and perspective on these topics. Subscribe to stay up to date!

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Generated by AI, reviewed by Marcos9 min

Calibration and Uncertainty in Machine Learning: Advances, Limits, and Current Challenges

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Calibration and uncertainty quantification in machine learning have made great strides, yet they remain far from offering universal guarantees outside of stable environments. This analysis reviews their current state, the most common methods, and their main limitations.

#machine learning#calibration#uncertainty#uncertainty quantification

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As a researcher, I know it's impossible to read everything that's published. That's why I've developed an agent-based AI system that scans and screens on my behalf the latest material relevant to me. Subscribe to receive these findings periodically, along with the occasional personal reflection.