activity
20212025
most citedAn inexact column-and-constraint generation method to solve two-stage robust optimization problems

2 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2025

Contextual Quantile Minimization for Two-Stage Stochastic Programs

Man Yiu Tsang, Tony Sit, Hoi Ying Wong

Contextual stochastic optimization is an advanced methodology to model uncertainty in the presence of contextual information during decision planning processes. Although classical…

math.OC2024

On the Trade-Off Between Distributional Belief and Ambiguity: Conservatism, Finite-Sample Guarantees, and Asymptotic Properties

Man Yiu Tsang, Karmel S. Shehadeh

We propose and analyze a new data-driven trade-off (TRO) approach for modeling uncertainty that serves as a middle ground between the optimistic approach, which adopts a distributi…

math.OC2022★ 1 cited

A Unified Framework for Analyzing and Optimizing a Class of Convex Fairness Measures

Man Yiu Tsang, Karmel S. Shehadeh

We propose a new framework that unifies different fairness measures into a general, parameterized class of convex fairness measures suitable for optimization contexts. First, we pr…

math.OC2022★ 2 cited

An inexact column-and-constraint generation method to solve two-stage robust optimization problems

Man Yiu Tsang, Karmel S. Shehadeh, Frank E. Curtis

We propose a new inexact column-and-constraint generation (i-C&CG) method to solve two-stage robust optimization problems. The method allows solutions to the master problems to be…

q-fin.PM2022

Adaptive Robust Online Portfolio Selection

Man Yiu Tsang, Tony Sit, Hoi Ying Wong

The online portfolio selection (OLPS) problem differs from classical portfolio model problems, as it involves making sequential investment decisions. Many OLPS strategies described…

math.OC2022★ 2 cited

Stochastic Optimization Approaches for an Operating Room and Anesthesiologist Scheduling Problem

Man Yiu Tsang, Karmel S. Shehadeh, Frank E. Curtis +2

We propose combined allocation, assignment, sequencing, and scheduling problems under uncertainty involving multiple operation rooms (ORs), anesthesiologists, and surgeries, as wel…

math.OC2021★ 2 cited

Stochastic Optimization Models for a Home Service Routing and Appointment Scheduling Problem with Random Travel and Service Times

Man Yiu, Tsang, Karmel S. Shehadeh

We study a routing and appointment scheduling problem with uncertain service and travel times arising from home service practice. Specifically, given a set of customers within a se…