2 citations · 2 across the 10 of their papers we have counts for
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From Frequentist to Bayesian Contextual Optimization
Zhuojun Xie, Adam Abdin, Yiping Fang
In data-driven contextual stochastic optimization, existing approaches are predominantly frequentist: they commit to a single predictive model and treat it as ground truth, yieldin…
Improving critical buildings energy resilience via shared autonomous electric vehicles -- A sequential optimization framework
Jinming Liu, Adam Abdin, Jakob Puchinger
The interdependence between electric power systems and transportation systems is rapidly increasing due to the high adoption of Electric Vehicles (EVs) and their charging infrastru…
New electric vehicle charging rate design : an MPEC assessment
Icaro Silvestre Freitas Gomes, Adam Abdin, Jakob Puchinger +1
A high penetration of electric vehicles (EVs) will deeply impact the management of electric power systems. To avoid costly grid reinforcements and the risk of load curtailment due…
BOCO: Bayesian Online Contextual Optimization for Decision-Focused Online Learning
Zhuojun Xie, Adam Abdin, Yiping Fang
\emph{Decision-focused learning} (DFL) trains predictive models to optimize downstream decisions rather than prediction accuracy alone. While recent studies have extended this para…