Calibeating Made Simple

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References (20)

[1]

Simultaneous Swap Regret Minimization via KL-Calibration

2025Haipeng Luo, Spandan Senapati et al.

[2]

Full Swap Regret and Discretized Calibration

2025Maxwell Fishelson, Robert D. Kleinberg et al.

[3]

Calibrated Probabilistic Forecasts for Arbitrary Sequences

Founder's Pitch

"A theoretical framework for improving external forecasts through online post-processing to minimize cumulative losses."

Online Learning•Score: 3•View PDF ↗

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0-10 scale

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1/4 signals

2.5

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2/4 signals

5

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1/4 signals

2.5

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Why It Matters

This research addresses critical challenges in its domain, enabling more effective and intelligent applications.

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Calibeating Made Simple

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References (20)

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"A theoretical framework for improving external forecasts through online post-processing to minimize cumulative losses."

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