New algorithms minimize swap regret against arbitrary functions on convex action sets, yielding O~(T^{1/3}) ℓ2-calibration error and O~(max(T^{1/3}, sqrt(ǫT))) discretized-calibration error.
Efficient phi-regret minimization in extensive-form games via online mirror descent
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Full Swap Regret and Discretized Calibration
New algorithms minimize swap regret against arbitrary functions on convex action sets, yielding O~(T^{1/3}) ℓ2-calibration error and O~(max(T^{1/3}, sqrt(ǫT))) discretized-calibration error.