Expected Calibration Error Limitations in Modern ML
Confidence scores don't mean what deep networks claim they mean.
Marcus Odhiambo
Staff Writer
Marcus specializes in reinforcement learning algorithms and their intersection with decision-making under uncertainty, with a background in computational neuroscience and a stint as a research engineer at two Bay Area AI labs. His writing translates dense algorithmic work into precise, accessible analysis without sacrificing technical rigor.
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Confidence scores don't mean what deep networks claim they mean.
Bridging the gap between pattern-spotting and true causal reasoning in high-stakes decisions.