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math.OC2026
Instance-optimal stochastic convex optimization: Can we improve upon sample-average and robust stochastic approximation?
Liwei Jiang, Ashwin Pananjady
We study the unconstrained minimization of a smooth and strongly convex population loss function under a stochastic oracle that introduces both additive and multiplicative noise; t…
math.OC2026
Multiscale replay: A robust algorithm for stochastic variational inequalities with a Markovian buffer
Milind Nakul, Tianjiao Li, Ashwin Pananjady
We introduce the Multiscale Experience Replay (MER) algorithm for solving a class of stochastic variational inequalities (VIs) in settings where samples are generated from a Markov…