Machine Learning Needs Mathematical Optimization With Dr Phebe Vayanos - Detailed Analysis
Abstract: Data-driven predictive and prescriptive analytics tools are increasingly being used to assist decision-making in high ... Machine Learning NeEDS Mathematical Optimization Abstract: Given a problem (P) and a parametrised algorithm A for solving instances of (P), the Algorithm Configuration Problem ... Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions. Abstract: As automated data analysis supplements and even replaces human supervision in consequential decision-making (e.g., ... Abstract. This work develops a class of relaxations in between the big-M and convex hull formulations of disjunctions, drawing ...
Abstract: The talk focuses on block coordinate decomposition methods when optimizating a finite sum of functions. Specifically, we ... Title: Tactical Planning under Imperfect Information: A Fast Matheuristic for Two-Stage Stochastic Programs Through Supervised ... Abstract: We present theoretical and computational results relating to a set of works where we apply random projection techniques ...
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