60 citations · 153 across the 26 of their papers we have counts for
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math.OC2017★ 60 cited
Decentralized Online Learning with Kernels
Alec Koppel, Santiago Paternain, Cedric Richard +1
We consider multi-agent stochastic optimization problems over reproducing kernel Hilbert spaces (RKHS). In this setting, a network of interconnected agents aims to learn decision f…
math.OC2017★ 1 cited
A Newton-Based Method for Nonconvex Optimization with Fast Evasion of Saddle Points
Santiago Paternain, Aryan Mokhtari, Alejandro Ribeiro
Machine learning problems such as neural network training, tensor decomposition, and matrix factorization, require local minimization of a nonconvex function. This local minimizati…