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Research map / Optimization / Nonconvex and smooth optimization

Stochastic Online AUC Maximization

NeurIPS 2016 · Optimization › Nonconvex and smooth optimization · approach: Coordinate and Adam convergence analysis · 99 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace the pairwise AUC objective with a stochastic saddle point formulation solved by SOLAM (O(d) space and per-iteration cost)online AUC maximization · 12 benchmark datasetstesting AUCMixed
Use SOLAM with the l2 loss saddle formulation instead of OPAUCcovtype · covtypetesting AUC: +0.95 AUC points (0.9744 vs 0.8244)Helped
Use SOLAM instead of OPAUCacoustic · acoustictesting AUC: 0.8898 vs 0.8192Helped
Use SOLAM instead of OPAUCdiabetes · diabetestesting AUC: 0.8253 vs 0.8309Hurt
Use SOLAM instead of OPAUCa9a · a9atesting AUC: 0.9001 vs 0.9002No clear effect
Use SOLAM instead of OPAUCnews20 · news20testing AUC: 0.9467 vs 0.8871Helped

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