Randomized calibrated expert aggregation that Blackwell-refines a target is polynomial-time solvable; deterministic aggregation is NP-hard and has no multiplicative PTAS for proper losses.
Proceedings of the 57th Annual ACM Symposium on Theory of Computing , pages=
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Algorithmic Expert Aggregation
Randomized calibrated expert aggregation that Blackwell-refines a target is polynomial-time solvable; deterministic aggregation is NP-hard and has no multiplicative PTAS for proper losses.
- Instance-Adaptive Online Multicalibration