Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees. - Joshua Cutler; Dmitriy Drusvyatskiy; Zaïd Harchaoui (NeurIPS, 2021)

Stochastic optimization under time drift: iterate averaging, step decay, and high probability guarantees. - Joshua Cutler; Dmitriy Drusvyatskiy; Zaïd Harchaoui (CoRR, 2021)

Stochastic Optimization under Distributional Drift. - Joshua Cutler; Dmitriy Drusvyatskiy; Zaïd Harchaoui (J. Mach. Learn. Res., 2023)

Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality. - Joshua Cutler; Mateo Díaz; Dmitriy Drusvyatskiy (J. Mach. Learn. Res., 2024)