3 papers
math.OC2025
Asynchronous and Stochastic Distributed Resource Allocation
Qiang Li, Michal Yemini, Hoi-To Wai
This work proposes and studies the distributed resource allocation problem in asynchronous and stochastic settings. We consider a distributed system with multiple workers and a coo…
math.OC2025
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Clipping Bias and Remedies
Qiang Li, Michal Yemini, Hoi-To Wai
This paper studies the convergence of clipped stochastic gradient descent (SGD) algorithms with decision-dependent data distribution. Our setting is motivated by privacy preserving…
math.OC2025
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
Qiang Li, Hoi-To Wai
This paper studies a risk minimization problem with decision dependent data distribution. The problem pertains to the performative prediction setting in which a trained model can a…