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Sample Complexity of Tree Search Configuration: Cutting Planes and
  Beyond

Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond

8 June 2021
Maria-Florina Balcan
Siddharth Prasad
Tuomas Sandholm
Ellen Vitercik
ArXiv (abs)PDFHTML

Papers citing "Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond"

23 / 23 papers shown
Title
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
58
0
0
16 May 2025
Beyond Local Selection: Global Cut Selection for Enhanced Mixed-Integer Programming
Beyond Local Selection: Global Cut Selection for Enhanced Mixed-Integer Programming
Shuli Zeng
Sijia Zhang
Shaoang Li
Feng Wu
Xiang-Yang Li
90
0
0
20 Mar 2025
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
Tonghan Wang
Yanchen Jiang
David C. Parkes
134
1
0
24 Feb 2025
Learning to Remove Cuts in Integer Linear Programming
Learning to Remove Cuts in Integer Linear Programming
Pol Puigdemont
Stratis Skoulakis
Grigorios G. Chrysos
Volkan Cevher
68
1
0
26 Jun 2024
AlphaZeroES: Direct score maximization outperforms planning loss
  minimization
AlphaZeroES: Direct score maximization outperforms planning loss minimization
Carlos Martin
Tuomas Sandholm
58
0
0
12 Jun 2024
Learning Cut Generating Functions for Integer Programming
Learning Cut Generating Functions for Integer Programming
Hongyu Cheng
Amitabh Basu
45
2
0
22 May 2024
Learning to Cut via Hierarchical Sequence/Set Model for Efficient
  Mixed-Integer Programming
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming
Jie Wang
Zhihai Wang
Xijun Li
Yufei Kuang
Zhihao Shi
Fangzhou Zhu
Mingxuan Yuan
Jianguo Zeng
Yongdong Zhang
Feng Wu
83
8
0
19 Apr 2024
Machine Learning Augmented Branch and Bound for Mixed Integer Linear
  Programming
Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
Lara Scavuzzo
K. Aardal
Andrea Lodi
Neil Yorke-Smith
91
21
0
08 Feb 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
68
2
0
04 Feb 2024
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear
  Programming
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
Haotian Ling
Zhihai Wang
Jie Wang
75
6
0
31 Jan 2024
Machine Learning Insides OptVerse AI Solver: Design Principles and
  Applications
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications
Xijun Li
Fangzhou Zhu
Hui-Ling Zhen
Weilin Luo
Meng Lu
...
Jia Zeng
Mingxuan Yuan
Jianye Hao
Jun Yao
Kun Mao
106
2
0
11 Jan 2024
Solving a Class of Cut-Generating Linear Programs via Machine Learning
Solving a Class of Cut-Generating Linear Programs via Machine Learning
Atefeh Rajabalizadeh
D. Davarnia
17
3
0
30 Oct 2023
Machine Learning for Cutting Planes in Integer Programming: A Survey
Machine Learning for Cutting Planes in Integer Programming: A Survey
Arnaud Deza
Elias Boutros Khalil
51
28
0
17 Feb 2023
Learning Cut Selection for Mixed-Integer Linear Programming via
  Hierarchical Sequence Model
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
Zhihai Wang
Xijun Li
Jie Wang
Yufei Kuang
Mingxuan Yuan
Jianguo Zeng
Yongdong Zhang
Feng Wu
80
42
0
01 Feb 2023
Cutting Plane Selection with Analytic Centers and Multiregression
Cutting Plane Selection with Analytic Centers and Multiregression
Mark Turner
Timo Berthold
Mathieu Besançon
Thorsten Koch
74
9
0
14 Dec 2022
Improved Generalization Bound and Learning of Sparsity Patterns for
  Data-Driven Low-Rank Approximation
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation
Shinsaku Sakaue
Taihei Oki
112
4
0
17 Sep 2022
Provably tuning the ElasticNet across instances
Provably tuning the ElasticNet across instances
Maria-Florina Balcan
M. Khodak
Dravyansh Sharma
Ameet Talwalkar
156
14
0
20 Jul 2022
Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation
  Learning
Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning
Max B. Paulus
Giulia Zarpellon
Andreas Krause
Laurent Charlin
Chris J. Maddison
72
61
0
27 Jun 2022
Generalization Bounds for Data-Driven Numerical Linear Algebra
Generalization Bounds for Data-Driven Numerical Linear Algebra
Peter L. Bartlett
Piotr Indyk
Tal Wagner
95
15
0
16 Jun 2022
Sample Complexity of Learning Heuristic Functions for Greedy-Best-First
  and A* Search
Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search
Shinsaku Sakaue
Taihei Oki
87
4
0
20 May 2022
Structural Analysis of Branch-and-Cut and the Learnability of Gomory
  Mixed Integer Cuts
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts
Maria-Florina Balcan
Siddharth Prasad
Tuomas Sandholm
Ellen Vitercik
40
22
0
15 Apr 2022
Adaptive Cut Selection in Mixed-Integer Linear Programming
Adaptive Cut Selection in Mixed-Integer Linear Programming
Mark Turner
Thorsten Koch
Felipe Serrano
Michael Winkler
99
33
0
22 Feb 2022
Improved Sample Complexity Bounds for Branch-and-Cut
Improved Sample Complexity Bounds for Branch-and-Cut
Maria-Florina Balcan
Siddharth Prasad
Tuomas Sandholm
Ellen Vitercik
77
16
0
18 Nov 2021
1