Competitive caching with machine learned advice

15 February 2018

Papers citing "Competitive caching with machine learned advice"

22 / 72 papers shown

Title
Parsimonious Learning-Augmented Caching Sungjin Im Ravi Kumar Aditya Petety Manish Purohit 61 27 0 09 Feb 2022
Lazy Lagrangians with Predictions for Online Learning Daron Anderson Georgios Iosifidis D. Leith 52 6 0 08 Jan 2022
Robustification of Online Graph Exploration Methods Franziska Eberle Alexander Lindermayr Nicole Megow L. Nolke Jens Schlöter AAML OOD 26 20 0 10 Dec 2021
Learning-Augmented Algorithms for Online Steiner Tree Chenyang Xu Benjamin Moseley 33 17 0 10 Dec 2021
Online Search With Best-Price and Query-Based Predictions Spyros Angelopoulos Shahin Kamali Dehou Zhang 48 9 0 02 Dec 2021
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 49 15 0 29 Oct 2021
Learning-Augmented $k$ -means Clustering Jon Ergun Zhili Feng Sandeep Silwal David P. Woodruff Samson Zhou 34 30 0 27 Oct 2021
Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds A. Antoniadis Christian Coester Marek Eliáš Adam Polak Bertrand Simon 50 20 0 25 Oct 2021
Faster Matchings via Learned Duals M. Dinitz Sungjin Im Thomas Lavastida Benjamin Moseley Sergei Vassilvitskii 24 67 0 20 Jul 2021
Online Bin Packing with Predictions Spyros Angelopoulos Shahin Kamali Kimia Shadkami 48 26 0 05 Feb 2021
Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing Thomas Lavastida Benjamin Moseley R. Ravi Chenyang Xu OOD 42 57 0 23 Nov 2020
The Primal-Dual method for Learning Augmented Algorithms Étienne Bamas Andreas Maggiori O. Svensson OnRL 27 125 0 22 Oct 2020
Learning Augmented Energy Minimization via Speed Scaling Étienne Bamas Andreas Maggiori Lars Rohwedder O. Svensson 50 68 0 22 Oct 2020
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms Alexander Wei Fred Zhang 42 94 0 22 Oct 2020
Adaptive Discretization for Model-Based Reinforcement Learning Sean R. Sinclair Tianyu Wang Gauri Jain Siddhartha Banerjee Chao Yu OffRL 24 21 0 01 Jul 2020
Queues with Small Advice Michael Mitzenmacher 17 20 0 27 Jun 2020
Online Learning with Imperfect Hints Aditya Bhaskara Ashok Cutkosky Ravi Kumar Manish Purohit 47 58 0 11 Feb 2020
Automating Distributed Tiered Storage Management in Cluster Computing H. Herodotou E. Kakoulli 26 24 0 04 Jul 2019
Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions Rohan Kodialam 11 15 0 28 Feb 2019
Learning Space Partitions for Nearest Neighbor Search Yihe Dong Piotr Indyk Ilya P. Razenshteyn Tal Wagner 58 12 0 24 Jan 2019
SmartChoices: Hybridizing Programming and Machine Learning Victor Carbune Thierry Coppey A. Daryin Thomas Deselaers Nikhil Sarda J. Yagnik 24 2 0 01 Oct 2018
Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency Sebastian Perez-Salazar Ishai Menache Mohit Singh A. Toriello 14 7 0 07 Sep 2018