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Research map / Optimization / Nonconvex and smooth optimization

Riemannian Adaptive Optimization Methods

ICLR 2019 · Optimization › Nonconvex and smooth optimization · approach: Acceleration and Nesterov dynamics · 145 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Riemannian Adam (Radam) instead of RSGDWordNet taxonomy embedding in the Poincaré ball · WordNet reconstruction and link predictiontraining lossHelped
Use Radam instead of RSGDWordNet taxonomy embedding with exponential-map updates · WordNet reconstruction and link predictionMAPHelped
Use Radam instead of RSGDWordNet taxonomy embedding with retraction updates · WordNet reconstruction and link predictiontraining lossHelped
Use Radam instead of RSGDWordNet taxonomy embedding with retraction updates · WordNet reconstruction and link predictionMAPNo clear effect
Use Ramsgrad instead of RadamWordNet taxonomy embedding with retraction updates · WordNet link predictionMAP convergenceHelped
Use retraction updates instead of exponential-map updates (ablation)RSGD and the proposed adaptive methods · WordNet taxonomy embeddingtraining lossHelped
Use RadagradWordNet taxonomy embedding · WordNet reconstruction and link predictionoverall performanceHurt

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