#7AYW #Day3 #CombinatorialOptimization #MachineLearning
Nuria Gómez-Vargas @justnuu_ shows a predict-and-optimize approach to guide the training of ML models with performances on the optimization problem and to enhance sparsity in the feature space for decisions explainability. https://t.co/8e0XTTeQPh

#7AYW #Day3 #CombinatorialOptimization #MachineLearning
Léo Baty presents a policy for the dynamic VRPTW,
which ranked first of the competition @EuroNeuripsVRP. It relies on a #DeepLearning pipeline with a prize collecting VRPTW combinatorial optimization layer. https://t.co/ZIze00SGf4

#7AYW #Day1 #CombinatorialOptimization #MachineLearning
Francesco Paolo Saccomanno proposes a reinforcement learning strategy to address #BinPacking, where the agent is trained to imitate a classic heuristic, the “best fit” strategy. https://t.co/9SnLnX4CW8

#7AYW #CombinatorialOptimization & #MachineLearning
Antonio Consolo studies a variant of multivariate randomized regression trees and presents a decomposition training algorithm with a heuristic for the reassignment of the input vectors along the branching nodes of the tree.

#7AYW #CombinatorialOptimization & #MachineLearning
Simone Milanesi introduces the BeMi ensemble, a structured architecture of Binarized Neural Networks based on training a single BNN for each possible pair of classes and applying a Condorcet-inspired majority voting scheme.

#7AYW #CombinatorialOptimization

#7AYW #CombinatorialOptimization

How often should you clean your room?

This is the title of this #CombinatorialOptimization #paper. The take on the question is truly original.

:arxiv: https://arxiv.org/abs/1305.1984

Authors went at length to investigate the issue and prove a logarithmic upper bound.

#PaperThread #TCS #Optimization #FunPaper #DiscreteMaths

#Combinatorialoptimization - a field of research addressing problems that feature strongly in a wealth of practical and industrial contexts - has been identified as one of the core potential fields of applicability of near-term #quantumcomputers. It is still unclear, however, to what extent variational #quantumalgorithms can actually outperform classical algorithms for this type of problems.