Exploring Machine Learning Needs Mathematical Optimization With Prof Thibaut Vidal
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- Abstract: A supervised
- Abstract: In the past decade, there has been an overwhelming acceptance for data analytics,
- Abstract: In classical Statistics and Multivariate Data Analysis data is usually represented in a data array where each row ...
- Machine Learning NeEDS Mathematical Optimization
- Machine Learning NeEDS Mathematical Optimization
In-Depth Information on Machine Learning Needs Mathematical Optimization With Prof Thibaut Vidal
Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions. Abstract: In this talk we initially analyze null hypothesis statistical testing, the use of p-values and the controversy around them. Abstract: In this talk I will start by showing how it is possible to use clustering methods to improve some Global Abstract: Given a problem (P) and a parametrised algorithm A for solving instances of (P), the Algorithm Configuration Problem ...
Abstract: We give a combinatorial algorithm to find a maximum packing of hypertrees in a capacitated hypergraph. Based on this ...
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