Mostly OM

Prof. Dimitris Bertsimas

Prof. Dimitris BertsimasMassachusetts Institute of TechnologyTalk:The Voice of OptimizationAbstract:We introduce the idea that using optimal classification trees (OCTs) and optimal classification trees with-hyperplanes (OCT-Hs), interpretable machine learning algorithms developed by Bertsimas and Dunn [2017, 2018], we are able to obtain insight on the strategy behind the optimal solution in con...

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Prof. Shane Henderson

Prof. Shane HendersonCornell UniversityTalk:Under the Hood of Bike SharingAbstract:Cornell’s work on bike sharing with Citi Bike and its parent company Motivate relies on a combination of data analysis, stochastic modeling and optimization to help inform both the design and operation of the largest bike-sharing operations in North America. I’ll discuss our work and its impact, but focus on so...

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Prof. Costis Maglaras

Prof. Costis MaglarasColumbia UniversityTalk:Observational Learningand Abandonment in Congested System

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Prof. David Simchi-Levi

Prof. David Simchi-LeviMassachusetts Institute of TechnologyTalk:PhaseTransitions and Cyclic Phenomena in Bandits with Switching ConstraintsAbstract:We consider the classical stochastic multi-armed bandit problem with a constraint that limits the total cost incurred by switching between actions to be no larger than a given switching budget. For this problem, we prove matching upper and lower bo...

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Prof. Yinyu Ye

Prof. Yinyu YeStanford UniversityTalk:The Sample Complexity in Data-Driven Optimizatio

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Prof. Assaf Zeevi

Prof. Assaf ZeeviColumbia UniversityTalk:Learning Theoretic Challenges in Operatio

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