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Amine Mohamed Aboussalah

2 accepted papers

2023

Recursive Time Series Data Augmentation

ICLR 2023poster

Time series observations can be seen as realizations of an underlying dynamical system governed by rules that we typically do not know. For time series learning tasks we create our model using available data. Training on available realizations, where data is limited, often induces severe over-fittin…

Cited by 18SourcePDFScholar
2022

A Deep Reinforcement Learning Framework for Column Generation

NeurIPS 2022accept

Column Generation (CG) is an iterative algorithm for solving linear programs (LPs) with an extremely large number of variables (columns). CG is the workhorse for tackling large-scale integer linear programs, which rely on CG to solve LP relaxations within a branch and bound algorithm. Two canonical…

Cited by 44SourcePDFScholar