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Learnable and Instance-Robust Predictions for Online Matching, Flows and
  Load Balancing

Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing

23 November 2020
Thomas Lavastida
Benjamin Moseley
R. Ravi
Chenyang Xu
    OOD
ArXivPDFHTML

Papers citing "Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing"

23 / 23 papers shown
Title
Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
Spyros Angelopoulos
Christoph Durr
Alex Elenter
Yanni Lefki
31
2
0
07 Aug 2024
Learning-augmented Maximum Independent Set
Learning-augmented Maximum Independent Set
Vladimir Braverman
Prathamesh Dharangutte
Vihan Shah
Chen Wang
32
1
0
16 Jul 2024
Online bipartite matching with imperfect advice
Online bipartite matching with imperfect advice
Davin Choo
Themis Gouleakis
Chun Kai Ling
Arnab Bhattacharyya
43
1
0
16 May 2024
MAC Advice for Facility Location Mechanism Design
MAC Advice for Facility Location Mechanism Design
Zohar Barak
Anupam Gupta
Inbal Talgam-Cohen
OOD
34
5
0
18 Mar 2024
Primal-Dual Algorithms with Predictions for Online Bounded Allocation
  and Ad-Auctions Problems
Primal-Dual Algorithms with Predictions for Online Bounded Allocation and Ad-Auctions Problems
E. Kevi
K. Nguyen
18
5
0
13 Feb 2024
On Optimal Consistency-Robustness Trade-Off for Learning-Augmented
  Multi-Option Ski Rental
On Optimal Consistency-Robustness Trade-Off for Learning-Augmented Multi-Option Ski Rental
Yongho Shin
Changyeol Lee
Hyung-Chan An
21
0
0
05 Dec 2023
Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental
  Problem via Best-Possible Competitive Analysis
Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
Yongho Shin
Changyeol Lee
Gukryeol Lee
Hyung-Chan An
26
10
0
14 Feb 2023
On the Power of Learning-Augmented Search Trees
On the Power of Learning-Augmented Search Trees
Xinyuan Cao
Jingbang Chen
L. Chen
Chris Lambert
19
1
0
16 Nov 2022
Algorithms with Prediction Portfolios
Algorithms with Prediction Portfolios
M. Dinitz
Sungjin Im
Thomas Lavastida
Benjamin Moseley
Sergei Vassilvitskii
OOD
28
20
0
22 Oct 2022
Contextual Pandora's Box
Contextual Pandora's Box
Alexia Atsidakou
C. Caramanis
Evangelia Gergatsouli
O. Papadigenopoulos
Christos Tzamos
16
5
0
26 May 2022
A Regression Approach to Learning-Augmented Online Algorithms
A Regression Approach to Learning-Augmented Online Algorithms
Keerti Anand
Rong Ge
Amit Kumar
Debmalya Panigrahi
24
20
0
18 May 2022
Online Algorithms with Multiple Predictions
Online Algorithms with Multiple Predictions
Keerti Anand
Rong Ge
Ajay Kumar
Debmalya Panigrahi
21
34
0
08 May 2022
Permutation Predictions for Non-Clairvoyant Scheduling
Permutation Predictions for Non-Clairvoyant Scheduling
Alexander Lindermayr
Nicole Megow
24
30
0
21 Feb 2022
Smoothed Online Optimization with Unreliable Predictions
Smoothed Online Optimization with Unreliable Predictions
Daan Rutten
Nicolas H. Christianson
Debankur Mukherjee
Adam Wierman
16
14
0
07 Feb 2022
Robustification of Online Graph Exploration Methods
Robustification of Online Graph Exploration Methods
Franziska Eberle
Alexander Lindermayr
Nicole Megow
L. Nolke
Jens Schlöter
AAML
OOD
13
20
0
10 Dec 2021
Learning-Augmented Algorithms for Online Steiner Tree
Learning-Augmented Algorithms for Online Steiner Tree
Chenyang Xu
Benjamin Moseley
28
17
0
10 Dec 2021
Online Search With Best-Price and Query-Based Predictions
Online Search With Best-Price and Query-Based Predictions
Spyros Angelopoulos
Shahin Kamali
Dehou Zhang
21
9
0
02 Dec 2021
Logarithmic Regret from Sublinear Hints
Logarithmic Regret from Sublinear Hints
Aditya Bhaskara
Ashok Cutkosky
Ravi Kumar
Manish Purohit
57
17
0
09 Nov 2021
(Optimal) Online Bipartite Matching with Degree Information
(Optimal) Online Bipartite Matching with Degree Information
Anders Aamand
Justin Y. Chen
Piotr Indyk
35
6
0
21 Oct 2021
Online Primal-Dual Algorithms with Predictions for Packing Problems
Online Primal-Dual Algorithms with Predictions for Packing Problems
K. Nguyen
C. Dürr
26
3
0
01 Oct 2021
Double Coverage with Machine-Learned Advice
Double Coverage with Machine-Learned Advice
Alexander Lindermayr
Nicole Megow
Bertrand Simon
10
14
0
02 Mar 2021
Online Bin Packing with Predictions
Online Bin Packing with Predictions
Spyros Angelopoulos
Shahin Kamali
Kimia Shadkami
24
25
0
05 Feb 2021
Learning Augmented Energy Minimization via Speed Scaling
Learning Augmented Energy Minimization via Speed Scaling
Étienne Bamas
Andreas Maggiori
Lars Rohwedder
O. Svensson
42
68
0
22 Oct 2020
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