Learning to Optimize Computational Resources: Frugal Training with
Generalization Guarantees

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Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees

26 May 2019

Maria-Florina Balcan

Tuomas Sandholm

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Papers citing "Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees"

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Title
A Machine Learning Approach to Two-Stage Adaptive Robust Optimization Dimitris Bertsimas Cheolhyeong Kim 85 8 0 23 Jul 2023
Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach Dimitris Bertsimas Cheolhyeong Kim 26 2 0 23 Jul 2023
A Survey of Methods for Automated Algorithm Configuration Elias Schede Jasmin Brandt Alexander Tornede Marcel Wever Viktor Bengs Eyke Hüllermeier Kevin Tierney 92 52 0 03 Feb 2022
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond Maria-Florina Balcan Siddharth Prasad Tuomas Sandholm Ellen Vitercik 55 39 0 08 Jun 2021
Data driven semi-supervised learning Maria-Florina Balcan Dravyansh Sharma 64 16 0 18 Mar 2021
Generalization in portfolio-based algorithm selection Maria-Florina Balcan Tuomas Sandholm Ellen Vitercik 73 12 0 24 Dec 2020
Refined bounds for algorithm configuration: The knife-edge of dual class approximability Maria-Florina Balcan Tuomas Sandholm Ellen Vitercik 68 15 0 21 Jun 2020
How much data is sufficient to learn high-performing algorithms? Generalization guarantees for data-driven algorithm design Maria-Florina Balcan Dan F. DeBlasio Travis Dick Carl Kingsford Tuomas Sandholm Ellen Vitercik 65 35 0 08 Aug 2019