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cs.LG2022★ 1 cited
Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees -- Technical Report
Daniel Frank, Decky Aspandi Latif, Michael Muehlebach +2
Recurrent neural networks are capable of learning the dynamics of an unknown nonlinear system purely from input-output measurements. However, the resulting models do not provide an…
math.OC2022
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
Aniket Das, Bernhard Schölkopf, Michael Muehlebach
We analyze the convergence rates of stochastic gradient algorithms for smooth finite-sum minimax optimization and show that, for many such algorithms, sampling the data points with…