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Generalization in portfolio-based algorithm selection

Generalization in portfolio-based algorithm selection

AAAI Conference on Artificial Intelligence (AAAI), 2020
24 December 2020
Maria-Florina Balcan
Tuomas Sandholm
Ellen Vitercik
ArXiv (abs)PDFHTML

Papers citing "Generalization in portfolio-based algorithm selection"

7 / 7 papers shown
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming
Hongyu Cheng
Amitabh Basu
189
1
0
16 May 2025
Binary Search with Distributional Predictions
Binary Search with Distributional PredictionsNeural Information Processing Systems (NeurIPS), 2024
M. Dinitz
Sungjin Im
Thomas Lavastida
Benjamin Moseley
Aidin Niaparast
Sergei Vassilvitskii
OOD
343
10
0
25 Nov 2024
Learning-Augmented Algorithms with Explicit Predictors
Learning-Augmented Algorithms with Explicit PredictorsNeural Information Processing Systems (NeurIPS), 2024
Marek Elias
Haim Kaplan
Yishay Mansour
Shay Moran
234
10
0
12 Mar 2024
Sample Complexity of Algorithm Selection Using Neural Networks and Its
  Applications to Branch-and-Cut
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
Hongyu Cheng
Sammy Khalife
Barbara Fiedorowicz
Amitabh Basu
392
6
0
04 Feb 2024
Learning to Configure Separators in Branch-and-Cut
Learning to Configure Separators in Branch-and-Cut
Sirui Li
Wenbin Ouyang
Max B. Paulus
Cathy Wu
262
16
0
08 Nov 2023
Algorithms with Prediction Portfolios
Algorithms with Prediction PortfoliosNeural Information Processing Systems (NeurIPS), 2022
M. Dinitz
Sungjin Im
Thomas Lavastida
Benjamin Moseley
Sergei Vassilvitskii
OOD
361
28
0
22 Oct 2022
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
Auto-Sklearn 2.0: Hands-free AutoML via Meta-LearningJournal of machine learning research (JMLR), 2020
Matthias Feurer
Katharina Eggensperger
Stefan Falkner
Marius Lindauer
Katharina Eggensperger
601
375
0
08 Jul 2020
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