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20182026
most citedConvergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration

82 citations · 181 across the 16 of their papers we have counts for

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cs.LG2024

Public-data Assisted Private Stochastic Optimization: Power and Limitations

Enayat Ullah, Michael Menart, Raef Bassily +2

We study the limits and capability of public-data assisted differentially private (PA-DP) algorithms. Specifically, we focus on the problem of stochastic convex optimization (SCO)…