Wolfram serves on the program committee of the 2024 INFORMS Manufacturing and Service OperationsManagement Conference held June 30-July 2, 2024, at the University of Minnesota.
Posts By: wwiesema
Large-Scale and Data-Driven Markov Decision Processes
Wolfram gave a talk on Large-Scale and Data-Driven Markov Decision Processes at the AI4OPT seminar series at the Georgia Institute of Technology on Feb 15, 2024.
49th LNMB Conference on the Mathematics of Operations Research
Wolfram gave two plenary talks on Data-Driven Markov Decision Processes and Randomized Assortment Optimization at the 49th Conference on the Mathematics of Operations Research, organised by the LNMB Jan 15-17, 2024, in Soesterberg, The Netherlands.
Management Science: Data Science Department
As of Jan 10th, Wolfram is a co-editor (alongside Vivek Farias) of the Data Science department of Management Science.
OR Letters
As of Jan 1st, Wolfram took over from Amy Ward as Editor-in-Chief of Operations Research Letters.
Randomized Assortment Optimization
Wolfram gave a talk on Randomized Assortment Optimization at the Department of Economics and Management seminar series at the University of Luxembourg on Dec 14th, 2023.
Large-Scale and Data-Driven Markov Decision Processes
Wolfram gave a talk on Large-Scale and Data-Driven Markov Decision Processes at the Control Group Seminar series at the University of Oxford on Oct 9th, 2023.
A Unifying Framework for the Capacitated Vehicle Routing Problem under Risk and Ambiguity
Our paper A Unifying Framework for the Capacitated Vehicle Routing Problem under Risk and Ambiguity has been accepted for publication at Operations Research. A draft version of the paper can be found here.
INFORMS Optimization Society Student Paper Prize
Our paper Differential Privacy via Distributionally Robust Optimization was awarded the second prize at the INFORMS Optimization Society Student Paper Prize 2023!
A Unified Theory of Robust and Distributionally Robust Optimization via the Primal-Worst-Equals-Dual-Best Principle
Our paper A Unified Theory of Robust and Distributionally Robust Optimization via the Primal-Worst-Equals-Dual-Best Principle has been accepted for publication at Operations Research. A draft version of the paper can be found here.