Author

Marco Molinaro

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Preprint Aug 2026

Online Algorithms via Minimax and Posterior Matching

Competitive analysis is central to the study of online algorithms, but upper bounds are often highly problem-specific. We develop a more unifying methodology via the minimax viewpoint. Guided by Yao's principle, we reduce worst-case competitive analysis to Bayesian online design under an arbitrary correlated prior over...

Thomas Kesselheim, Marco Molinaro, Kalen Patton et al. · 1 citation

Aug 2026

Online Rack Placement in Large-Scale Data Centers: Online Sampling Optimization and Deployment

A large-scale online discrete optimization model is formulates and a new online sampling optimization (OSO) algorithm is developed that anticipates future demand by repeatedly simulating future arrivals and reoptimizing decisions over time, demonstrating the real-world impact of optimization in cloud infrastructure man...

Saumil Baxi, Kayla S. Cummings, Alexandre Jacquillat et al. · Operational Research · 3 citations