Media Summary: Machine Learning NeEDS Mathematical Optimization Abstract: In this talk we initially analyze null hypothesis statistical testing, the use of p-values and the controversy around them. Title: Bridging Matching, Regression, and Weighting as
Machine Learning Needs Mathematical Optimization - Detailed Analysis & Overview
Machine Learning NeEDS Mathematical Optimization Abstract: In this talk we initially analyze null hypothesis statistical testing, the use of p-values and the controversy around them. Title: Bridging Matching, Regression, and Weighting as Abstract: Algorithms are the building blocks of computation, and their efficiency in solving fundamental computational tasks is ... Abstract: In the past decade, there has been an overwhelming acceptance for data analytics, Abstract: The inability of many “black box” prediction models to explain the decisions made, have been widely acknowledged.
Large professional services companies employ thousands of experts to deliver a wide variety of services, making labor the ... Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions. Abstract: We give a combinatorial algorithm to find a maximum packing of hypertrees in a capacitated hypergraph. Based on this ... Title: Tactical Planning under Imperfect Information: A Fast Matheuristic for Two-Stage Stochastic Programs Through Supervised ...
