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Competitive caching with machine learned advice
v1v2v3v4 (latest)

Competitive caching with machine learned advice

15 February 2018
Thodoris Lykouris
Sergei Vassilvitskii
ArXiv (abs)PDFHTML

Papers citing "Competitive caching with machine learned advice"

50 / 145 papers shown
Title
Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors
Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors
Matei Gabriel Coşa
Marek Eliáš
27
0
0
05 Jun 2025
Online Budget-Feasible Mechanism Design with Predictions
Online Budget-Feasible Mechanism Design with Predictions
Georgios Amanatidis
E. Markakis
Christodoulos Santorinaios
Guido Schäfer
Panagiotis Tsamopoulos
Artem Tsikiridis
25
0
0
30 May 2025
Improved Approximations for Hard Graph Problems using Predictions
Improved Approximations for Hard Graph Problems using Predictions
Anders Aamand
Justin Y. Chen
Siddharth Gollapudi
Sandeep Silwal
Hao Wu
19
0
0
29 May 2025
Online Fair Division for Personalized $2$-Value Instances
Online Fair Division for Personalized 222-Value Instances
Georgios Amanatidis
Alexandros Lolos
E. Markakis
Victor Turmel
32
0
0
28 May 2025
Hybrid Real- and Complex-valued Neural Network Architecture
Hybrid Real- and Complex-valued Neural Network Architecture
Alex Young
L. V. Fiorio
Bo Yang
B. Karanov
Wim J. van Houtum
Ronald M. Aarts
81
0
0
04 Apr 2025
Queueing, Predictions, and LLMs: Challenges and Open Problems
Michael Mitzenmacher
Rana Shahout
AI4TSLRM
103
1
0
10 Mar 2025
Learning-Augmented Frequent Directions
Anders Aamand
Justin Y. Chen
Siddharth Gollapudi
Sandeep Silwal
Hao Wu
AI4TS
90
0
0
02 Mar 2025
Multi-Platform Autobidding with and without Predictions
Multi-Platform Autobidding with and without Predictions
Gagan Aggarwal
Anupam Gupta
Xizhi Tan
Mingfei Zhao
96
0
0
26 Feb 2025
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Lixing Lyu
Jiashuo Jiang
Wang Chi Cheung
85
1
0
24 Feb 2025
Incremental Approximate Single-Source Shortest Paths with Predictions
Incremental Approximate Single-Source Shortest Paths with Predictions
Samuel McCauley
Benjamin Moseley
Aidin Niaparast
Helia Niaparast
Shikha Singh
CLL
101
1
0
12 Feb 2025
Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search
Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search
Ziyad Benomar
Lorenzo Croissant
Vianney Perchet
Spyros Angelopoulos
111
0
0
08 Feb 2025
Optimal Metric Distortion for Matching on the Line
Optimal Metric Distortion for Matching on the Line
Aris Filos-Ratsikas
Vasilis Gkatzelis
M. Latifian
Emma Rewinski
Alexandros A. Voudouris
105
0
0
31 Jan 2025
On Tradeoffs in Learning-Augmented Algorithms
On Tradeoffs in Learning-Augmented Algorithms
Ziyad Benomar
Vianney Perchet
95
1
0
22 Jan 2025
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking
Marco Federici
Davide Belli
M. V. Baalen
Amir Jalalirad
Andrii Skliar
Bence Major
Markus Nagel
Paul N. Whatmough
208
1
0
02 Dec 2024
Binary Search with Distributional Predictions
Binary Search with Distributional Predictions
M. Dinitz
Sungjin Im
Thomas Lavastida
Benjamin Moseley
Aidin Niaparast
Sergei Vassilvitskii
OOD
131
5
0
25 Nov 2024
Learning-Augmented Algorithms for the Bahncard Problem
Learning-Augmented Algorithms for the Bahncard Problem
Hailiang Zhao
Xueyan Tang
Peng Chen
Shuiguang Deng
53
0
0
20 Oct 2024
Learning-Augmented Robust Algorithmic Recourse
Learning-Augmented Robust Algorithmic Recourse
Kshitij Kayastha
Vasilis Gkatzelis
Shahin Jabbari
81
0
0
02 Oct 2024
Fast and Reliable $N-k$ Contingency Screening with Input-Convex Neural
  Networks
Fast and Reliable N−kN-kN−k Contingency Screening with Input-Convex Neural Networks
Nicolas Christianson
Wenqi Cui
Steven Low
Weiwei Yang
Baosen Zhang
56
0
0
01 Oct 2024
Learning-Augmented Frequency Estimation in Sliding Windows
Learning-Augmented Frequency Estimation in Sliding Windows
Rana Shahout
Ibrahim Sabek
Michael Mitzenmacher
27
1
0
17 Sep 2024
Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
Spyros Angelopoulos
Christoph Durr
Alex Elenter
Yanni Lefki
77
2
0
07 Aug 2024
Improving Online Algorithms via ML Predictions
Improving Online Algorithms via ML Predictions
Ravi Kumar
Manish Purohit
Zoya Svitkina
93
318
0
25 Jul 2024
Online Learning with Sublinear Best-Action Queries
Online Learning with Sublinear Best-Action Queries
M. Russo
A. Celli
Riccardo Colini-Baldeschi
Federico Fusco
Daniel Haimovich
Dima Karamshuk
Stefano Leonardi
Niek Tax
58
1
0
23 Jul 2024
Competitive Algorithms for Online Knapsack with Succinct Predictions
Competitive Algorithms for Online Knapsack with Succinct Predictions
Mohammadreza Daneshvaramoli
Helia Karisani
Adam Lechowicz
Bo Sun
Cameron Musco
Mohammad Hajiesmaili
54
0
0
26 Jun 2024
Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams
Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams
Rana Shahout
Michael Mitzenmacher
70
4
0
24 Jun 2024
Learning-Augmented Priority Queues
Learning-Augmented Priority Queues
Ziyad Benomar
Christian Coester
71
6
0
07 Jun 2024
A Simple Learning-Augmented Algorithm for Online Packing with Concave
  Objectives
A Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives
Elena Grigorescu
Young-San Lin
Maoyuan Song
104
0
0
05 Jun 2024
Warm-starting Push-Relabel
Warm-starting Push-Relabel
Sami Davies
Sergei Vassilvitskii
Yuyan Wang
AI4CE
56
2
0
28 May 2024
Online Classification with Predictions
Online Classification with Predictions
Vinod Raman
Ambuj Tewari
65
1
0
22 May 2024
Online bipartite matching with imperfect advice
Online bipartite matching with imperfect advice
Davin Choo
Themis Gouleakis
Chun Kai Ling
Arnab Bhattacharyya
86
1
0
16 May 2024
Non-clairvoyant Scheduling with Partial Predictions
Non-clairvoyant Scheduling with Partial Predictions
Ziyad Benomar
Vianney Perchet
91
8
0
02 May 2024
Contract Scheduling with Distributional and Multiple Advice
Contract Scheduling with Distributional and Multiple Advice
Spyros Angelopoulos
Marcin Bieńkowski
Christoph Durr
Bertrand Simon
56
5
0
18 Apr 2024
VC Theory for Inventory Policies
VC Theory for Inventory Policies
Yaqi Xie
Will Ma
Linwei Xin
73
6
0
17 Apr 2024
Algorithms for Caching and MTS with reduced number of predictions
Algorithms for Caching and MTS with reduced number of predictions
Karim Abdel Sadek
Marek Elias
79
8
0
09 Apr 2024
LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling
  with Uncertain Demand
LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand
Roozbeh Bostandoost
Adam Lechowicz
Walid A. Hanafy
Noman Bashir
Prashant J. Shenoy
Mohammad Hajiesmaili
63
4
0
29 Mar 2024
MAC Advice for Facility Location Mechanism Design
MAC Advice for Facility Location Mechanism Design
Zohar Barak
Anupam Gupta
Inbal Talgam-Cohen
OOD
93
7
0
18 Mar 2024
Learning-Augmented Algorithms with Explicit Predictors
Learning-Augmented Algorithms with Explicit Predictors
Marek Elias
Haim Kaplan
Yishay Mansour
Shay Moran
91
3
0
12 Mar 2024
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
Masahiro Kato
Shinji Ito
189
0
0
05 Mar 2024
Learning-augmented Online Minimization of Age of Information and Transmission Costs
Learning-augmented Online Minimization of Age of Information and Transmission Costs
Zhongdong Liu
Keyuan Zhang
Bin Li
Yin Sun
Y. T. Hou
Bo Ji
73
3
0
05 Mar 2024
Learning-Based Algorithms for Graph Searching Problems
Learning-Based Algorithms for Graph Searching Problems
A. DePavia
Erasmo Tani
A. Vakilian
102
3
0
27 Feb 2024
Energy-Efficient Scheduling with Predictions
Energy-Efficient Scheduling with Predictions
Eric Balkanski
Noémie Périvier
Clifford Stein
Hao-Ting Wei
AI4TS
71
5
0
27 Feb 2024
Chasing Convex Functions with Long-term Constraints
Chasing Convex Functions with Long-term Constraints
Adam Lechowicz
Nicolas H. Christianson
Bo Sun
Noman Bashir
Mohammad Hajiesmaili
Adam Wierman
Prashant J. Shenoy
56
3
0
21 Feb 2024
Best of Many in Both Worlds: Online Resource Allocation with Predictions
  under Unknown Arrival Model
Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model
Lin An
Andrew A. Li
Benjamin Moseley
Gabriel Visotsky
44
2
0
21 Feb 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
51
5
0
13 Feb 2024
Learning-augmented Online Algorithm for Two-level Ski-rental Problem
Learning-augmented Online Algorithm for Two-level Ski-rental Problem
Keyuan Zhang
Zhongdong Liu
Nakjung Choi
Bo Ji
56
3
0
09 Feb 2024
Constrained Online Two-stage Stochastic Optimization: Algorithm with
  (and without) Predictions
Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions
Piao Hu
Jiashuo Jiang
Guodong Lyu
Hao Su
53
2
0
02 Jan 2024
Best-of-Both-Worlds Linear Contextual Bandits
Best-of-Both-Worlds Linear Contextual Bandits
Masahiro Kato
Shinji Ito
96
1
0
27 Dec 2023
Online Covering with Multiple Experts
Online Covering with Multiple Experts
EnikHo Kevi
Kim-Thang Nguyen
58
1
0
22 Dec 2023
Improved Frequency Estimation Algorithms with and without Predictions
Improved Frequency Estimation Algorithms with and without Predictions
Anders Aamand
Justin Y. Chen
Huy Le Nguyen
Sandeep Silwal
A. Vakilian
109
7
0
12 Dec 2023
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
54
0
0
05 Dec 2023
Learning-Augmented Scheduling for Solar-Powered Electric Vehicle
  Charging
Learning-Augmented Scheduling for Solar-Powered Electric Vehicle Charging
Tongxin Li
42
2
0
10 Nov 2023
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