# An Optimal High-Order Tensor Method for Convex Optimization

@inproceedings{Jiang2019AnOH, title={An Optimal High-Order Tensor Method for Convex Optimization}, author={B. Jiang and Haoyue Wang and Shuzhong Zhang}, booktitle={COLT}, year={2019} }

This paper is concerned with finding an optimal algorithm for minimizing a composite convex objective function. The basic setting is that the objective is the sum of two convex functions: the first function is smooth with up to the d-th order derivative information available, and the second function is possibly non-smooth, but its proximal tensor mappings can be computed approximately in an efficient manner. The problem is to find -- in that setting -- the best possible (optimal) iteration… Expand

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