Media Summary: Abstract: In this talk we initially analyze null hypothesis statistical testing, the use of p-values and the controversy around them. Machine Learning NeEDS Mathematical Optimization Abstract: Algorithms are the building blocks of computation, and their efficiency in solving fundamental computational tasks is ...
Machine Learning Needs Mathematical Optimization - Detailed Analysis & Overview
Abstract: In this talk we initially analyze null hypothesis statistical testing, the use of p-values and the controversy around them. Machine Learning NeEDS Mathematical Optimization Abstract: Algorithms are the building blocks of computation, and their efficiency in solving fundamental computational tasks is ... Title: Bridging Matching, Regression, and Weighting as Abstract: The inability of many “black box” prediction models to explain the decisions made, have been widely acknowledged. 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 ... Speaker: Prof Ilker Birbil, Endowed Professor for the Chair in Data Science and Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions. Abstract: Optimal transport (OT) has recently gained a lot of interest in Abstract: Discussions about trustworthy and responsible AI have become central across multiple communities in recent years ...
