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How to predict and optimise with asymmetric error metrics

How to predict and optimise with asymmetric error metrics

24 November 2022
M. Abolghasemi
Richard Bean
ArXivPDFHTML

Papers citing "How to predict and optimise with asymmetric error metrics"

5 / 5 papers shown
Title
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical
  Challenge
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical Challenge
Richard Bean
25
3
0
02 Feb 2022
State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd
  Technical Challenge
State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge
M. Abolghasemi
Rasul Esmaeilbeigi
15
8
0
07 Dec 2021
How to effectively use machine learning models to predict the solutions
  for optimization problems: lessons from loss function
How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function
M. Abolghasemi
B. Abbasi
Toktam Babaei
S. Z. Hosseinifard
AI4CE
26
9
0
14 May 2021
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
129
1,367
0
15 Nov 2018
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
117
952
0
01 Mar 2017
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