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Moscow Conference on Combinatorics and Applications - week 1
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Artem Agafonov (MIPT) - Inexact Tensor Methods and Their Application to Stochastic Convex Optimization |
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Аннотация: We propose general non-accelerated and accelerated tensor methods under inexact information on higher-order derivatives, analyze its convergence rate, and provide sufficient conditions for this method to have similar complexity as the exact tensor method. As a corollary, we propose the firststochastic tensor method for convex optimization and obtain sufficient mini-batch sizes for eachderivative. |
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