Learning to Link

v1v2v3 (latest)

Learning to Link

1 July 2019

Maria-Florina Balcan

ArXiv (abs)PDF HTML

Papers citing "Learning to Link"

9 / 9 papers shown

Title
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation Shinsaku Sakaue Taihei Oki 103 4 0 17 Sep 2022
Triangle and Four Cycle Counting with Predictions in Graph Streams Justin Y. Chen T. Eden Piotr Indyk Honghao Lin Shyam Narayanan R. Rubinfeld Sandeep Silwal Tal Wagner David P. Woodruff Michael Zhang 131 23 0 17 Mar 2022
A Survey of Methods for Automated Algorithm Configuration Elias Schede Jasmin Brandt Alexander Tornede Marcel Wever Viktor Bengs Eyke Hüllermeier Kevin Tierney 92 52 0 03 Feb 2022
Entity Linking and Discovery via Arborescence-based Supervised Clustering Dhruv Agarwal Rico Angell Nicholas Monath Andrew McCallum 92 34 0 02 Sep 2021
Data driven semi-supervised learning Maria-Florina Balcan Dravyansh Sharma 62 16 0 18 Mar 2021
Generalization in portfolio-based algorithm selection Maria-Florina Balcan Tuomas Sandholm Ellen Vitercik 65 12 0 24 Dec 2020
Unsupervised Embedding of Hierarchical Structure in Euclidean Space Jinyu Zhao Yi Hao Cyrus Rashtchian DRL 57 2 0 30 Oct 2020
Refined bounds for algorithm configuration: The knife-edge of dual class approximability Maria-Florina Balcan Tuomas Sandholm Ellen Vitercik 61 15 0 21 Jun 2020
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees Maria-Florina Balcan Tuomas Sandholm Ellen Vitercik 58 16 0 26 May 2019