Past Seminars

sort descending
The True Complexity of Stochastic Contextual Bandits Friday, March 19, 2021 - 13 Yunzong Xu (MIT)
Adaptive design of switchback experiments: A Markov chain perspective Friday, March 26, 2021 - 13 Ramesh Johari (Stanford)
Prophet Inequalities vs. Approximating Optimum Online Friday, April 2, 2021 - 13 Ali Shameli (MIT)
Contextual Optimization: Bridging Machine Learning and Operations Friday, April 9, 2021 - 13 Adam Elmachtoub (Columbia University)
Robust Learning of Consumer Preferences Friday, April 16, 2021 - 13 Rene Caldentey (Chicago Booth School of Business)
Offline and Online Learning from Optimal Actions Friday, April 23, 2021 - 13 Ilan Lobel (NYU)
Data-driven Appointment Scheduling: A Wasserstein Distributionally Robust Optimization Approach Friday, April 30, 2021 - 13 Zhan Pang (Purdue Krannert School of Management)
Dynamic Pricing of Relocating Resources in Large Networks Friday, May 7, 2021 - 13 Santiago Balseiro (Columbia Business School)
Online Stochastic Inventory Models With Cyclic Demands Friday, May 14, 2021 - 13 Xiao-Yue Gong (MIT)
Demand Learning and Pricing for Varying Assortments Friday, May 21, 2021 - 13 Kris (Johnson) Ferreira (Harvard University)

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