AdaSVRG combines adaptive gradient with SVRG for robust optimization.
problem Variance reduction in finite-sum minimization with unknown constants.
method AdaSVRG uses AdaGrad in SVRG's inner loop to make it robust.
result AdaSVRG achieves optimal gradient evaluations with no need for problem-dependent constants.