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A Regression Approach to Learning-Augmented Online Algorithms
v1v2 (latest)

A Regression Approach to Learning-Augmented Online Algorithms

18 May 2022
Keerti Anand
Rong Ge
Amit Kumar
Debmalya Panigrahi
ArXiv (abs)PDFHTML

Papers citing "A Regression Approach to Learning-Augmented Online Algorithms"

9 / 9 papers shown
Title
Improving Online Algorithms via ML Predictions
Improving Online Algorithms via ML Predictions
Ravi Kumar
Manish Purohit
Zoya Svitkina
70
319
0
25 Jul 2024
Customizing ML Predictions for Online Algorithms
Customizing ML Predictions for Online Algorithms
Keerti Anand
Rong Ge
Debmalya Panigrahi
44
60
0
18 May 2022
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
78
59
0
23 Nov 2020
The Primal-Dual method for Learning Augmented Algorithms
The Primal-Dual method for Learning Augmented Algorithms
Étienne Bamas
Andreas Maggiori
O. Svensson
OnRL
59
128
0
22 Oct 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
110
58
0
11 Feb 2020
A Model for Learned Bloom Filters, and Optimizing by Sandwiching
A Model for Learned Bloom Filters, and Optimizing by Sandwiching
Michael Mitzenmacher
59
185
0
03 Jan 2019
Competitive caching with machine learned advice
Competitive caching with machine learned advice
Thodoris Lykouris
Sergei Vassilvitskii
58
388
0
15 Feb 2018
Revenue Optimization with Approximate Bid Predictions
Revenue Optimization with Approximate Bid Predictions
Andrés Munoz Medina
Sergei Vassilvitskii
46
98
0
15 Jun 2017
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