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Calibrated $α$-Barycenters for Multiobjective $f$-Divergence Optimization
Matching one distribution to many targets can require repeated evaluations of every target. CAL-$α$-MODM aggregates a nonlinear predictor into one barycenter, calibrates its residual derivatives, and checks steps against the original $f$-divergence objective. Under smoothness assumptions, calibratio
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