This paper is concerned with finding an optimal algorithm for minimizing a composite convex objective function. The basic setting is that the objective is the sum of two convex functions: the first…
Stochastic discrete-time susceptible--infected--susceptible (SIS) and susceptible--infected--recovered (SIR) models of endemic diseases are introduced and analyzed. For the deterministic, mean-fiel…
In this paper, through an intuitive vanilla proximal method perspective, we derive a concise unified acceleration framework (UAF) for minimizing a convex function that has Hölder continuous deriva…
High-dimensional correlated binary data arise in many areas, such as observed genetic variations in biomedical research. Data simulation can help researchers evaluate efficiency and explore propert…
Problem definition: This paper studies the role of seekers’ problem specification in crowdsourcing contests for design problems. Academic/practical relevance: Platforms hosting design contests of…
Problem definition: We have witnessed a rapid rise of on-demand platforms, such as Uber, in the past few years. Although these platforms allow workers to choose their own working hours, they have l…