Introduces a robust max-min benchmark for aggregating calibrated forecasts that is LP-tractable, dominates OIH, and is attained by online algorithms under forecast-only feedback.
Proceedings of the 22nd ACM Conference on Economics and Computation , pages=
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Robust Aggregation of Calibrated Forecasts
Introduces a robust max-min benchmark for aggregating calibrated forecasts that is LP-tractable, dominates OIH, and is attained by online algorithms under forecast-only feedback.