#stochastic optimization
10 papers match
A Stochastic Optimization Framework for RIS-Aided Wireless Network Design
Davide Gagliardi, Alessio Zappone, Domenico Ciuonzo +1
The paper proposes a stochastic optimization framework using continuous cross‑entropy and Metropolis‑Hastings methods to design reconfigurable intelligent surface (RIS) configurati…
The optimality of an (s, S) hiring policy on a workforce planning problem with fixed recruitment costs and binomial turnover
Zhen Chen, Roberto Rossi, Belen Martin-Barragan +1
The paper analyzes a finite‑horizon workforce planning problem with fixed hiring costs and binomial turnover, proving that the optimal hiring rule follows an (s, S) policy and prov…
The Convergence Behavior of Adam under Heavy-Tailed Noise
Yijiang Pang
The paper provides the first convergence guarantees for the standard vector-form Adam optimizer under heavy‑tailed stochastic noise, showing convergence to stationary points with s…
Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise
Bin Luo, Chengchang Liu, Jonathan Allcock +2
The paper proposes quantum mean estimators for heavy‑tailed random variables and uses them to design quantum stochastic gradient descent methods that achieve lower query complexity…
A stochastic smoothing framework for nonconvex-nonconcave minEmax problems with applications to Wasserstein distributionally robust optimization
Wei Liu, Muhammad Khan, Gabriel Mancino-Ball +1
The paper introduces a stochastic smoothing proximal gradient algorithm for solving nonconvex‑nonconcave minimization‑expectation‑maximization (minEmax) problems, providing converg…
Stochastic Fleet Size and Mix Consistent Vehicle Routing Problem for Last Mile Delivery
Paolo Beatrici, Sebastian Birolini, Francesca Maggioni +1
The paper proposes a two‑stage stochastic mixed‑integer model that simultaneously decides the size and composition of a delivery fleet and the routing plan, adapting routes after a…