3 papers
math.OC2026
An Adaptive Proximal Framework for Stochastic Weakly Convex Optimization
Miaolan Xie
Many nonsmooth, nonconvex objectives in learning and signal recovery are -weakly convex. We minimize such a function when the weak-convexity parameter is unknown and only st…
math.OC2026
Optimizing Treatment Allocation to Maximize the Health of a Population
Daniel Adelman, Alba V Olivares-Nadal, Miaolan Xie
Recent shifts in global health priorities have positioned Population Health Management (PHM) as a central area of focus. However, optimizing PHM strategies presents several challen…
math.OC2025
Stochastic Adaptive Optimization with Unreliable Inputs: A Unified Framework for High-Probability Complexity Analysis
Katya Scheinberg, Miaolan Xie
We consider an unconstrained continuous optimization problem where, in each iteration, gradient estimates may be arbitrarily corrupted with a probability greater than 1/2. Addition…