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2 results for interpolation-like

Paper shows faster convergence to local-minimizers in over-parametrized models under interpolation-like conditions.

problem Escaping saddle-points in over-parametrized models.
method Stochastic and deterministic optimization algorithms under interpolation-like conditions.
result Oracle complexity of PSGD and SCRN algorithms to reach εε-local-minimizer matches or improves upon deterministic rates.