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Robustification of Online Graph Exploration Methods

Robustification of Online Graph Exploration Methods

10 December 2021
Franziska Eberle
Alexander Lindermayr
Nicole Megow
L. Nolke
Jens Schlöter
    AAMLOOD
ArXiv (abs)PDFHTML

Papers citing "Robustification of Online Graph Exploration Methods"

18 / 18 papers shown
Title
Improving Online Algorithms via ML Predictions
Improving Online Algorithms via ML Predictions
Ravi Kumar
Manish Purohit
Zoya Svitkina
67
319
0
25 Jul 2024
Neural Online Graph Exploration
Neural Online Graph Exploration
Ioannis Chiotellis
Daniel Cremers
25
2
0
06 Dec 2020
Learnable and Instance-Robust Predictions for Online Matching, Flows and
  Load Balancing
Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing
Thomas Lavastida
Benjamin Moseley
R. Ravi
Chenyang Xu
OOD
73
59
0
23 Nov 2020
Learning Augmented Energy Minimization via Speed Scaling
Learning Augmented Energy Minimization via Speed Scaling
Étienne Bamas
Andreas Maggiori
Lars Rohwedder
O. Svensson
82
70
0
22 Oct 2020
Online Learning with Imperfect Hints
Online Learning with Imperfect Hints
Aditya Bhaskara
Ashok Cutkosky
Ravi Kumar
Manish Purohit
103
58
0
11 Feb 2020
Learning Transferable Graph Exploration
Learning Transferable Graph Exploration
H. Dai
Yujia Li
Chenglong Wang
Rishabh Singh
Po-Sen Huang
Pushmeet Kohli
73
21
0
28 Oct 2019
Online Graph Exploration on a Restricted Graph Class: Optimal Solutions
  for Tadpole Graphs
Online Graph Exploration on a Restricted Graph Class: Optimal Solutions for Tadpole Graphs
S. Brandt
Klaus-Tycho Foerster
Jonathan Maurer
Roger Wattenhofer
18
9
0
01 Mar 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.1K
5,517
0
20 Dec 2018
Data-Driven Clustering via Parameterized Lloyd's Families
Data-Driven Clustering via Parameterized Lloyd's Families
Maria-Florina Balcan
Travis Dick
Colin White
26
37
0
19 Sep 2018
Learning to Branch
Learning to Branch
Maria-Florina Balcan
Travis Dick
Tuomas Sandholm
Ellen Vitercik
70
174
0
27 Mar 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
118
1,214
0
22 Mar 2018
Competitive caching with machine learned advice
Competitive caching with machine learned advice
Thodoris Lykouris
Sergei Vassilvitskii
56
388
0
15 Feb 2018
Dispersion for Data-Driven Algorithm Design, Online Learning, and
  Private Optimization
Dispersion for Data-Driven Algorithm Design, Online Learning, and Private Optimization
Maria-Florina Balcan
Travis Dick
Ellen Vitercik
62
75
0
08 Nov 2017
Revenue Optimization with Approximate Bid Predictions
Revenue Optimization with Approximate Bid Predictions
Andrés Munoz Medina
Sergei Vassilvitskii
43
98
0
15 Jun 2017
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
111
1,469
0
05 Apr 2017
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
158
1,492
0
29 Nov 2016
A PAC Approach to Application-Specific Algorithm Selection
A PAC Approach to Application-Specific Algorithm Selection
Rishi Gupta
Tim Roughgarden
63
117
0
23 Nov 2015
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
121
3,055
0
09 Jun 2015
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