Machine Learning · Statistics
Incremental Spectral Sparsification for Large-Scale Graph-Based Semi-Supervised Learning
Daniele Calandriello, Alessandro Lazaric, Michal Valko, Ioannis Koutis
2016-01-22
Machine Learning · Computer Science
Online Semi-Supervised Learning on Quantized Graphs
Michal Valko, Branislav Kveton, Ling Huang, Daniel Ting
2012-03-19
Machine Learning · Computer Science
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points
Zitong Wang, Li Wang, Raymond Chan, Tieyong Zeng
2019-12-06
Machine Learning · Computer Science
Hypergraph Self-supervised Learning with Sampling-efficient Signals
Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang +2
2024-04-19
Data Structures and Algorithms · Computer Science
Deterministic Distributed Sparse and Ultra-Sparse Spanners and Connectivity Certificates
Marcel Bezdrighin, Michael Elkin, Mohsen Ghaffari, Christoph Grunau +3
2022-09-26
Data Structures and Algorithms · Computer Science
A Framework for Analyzing Resparsification Algorithms
Rasmus Kyng, Jakub Pachocki, Richard Peng, Sushant Sachdeva
2016-11-22
Data Structures and Algorithms · Computer Science
Nearly Space-Optimal Graph and Hypergraph Sparsification in Insertion-Only Data Streams
Vincent Cohen-Addad, David P. Woodruff, Shenghao Xie, Samson Zhou
2025-10-22
Data Structures and Algorithms · Computer Science
Chaining, Group Leverage Score Overestimates, and Fast Spectral Hypergraph Sparsification
Arun Jambulapati, Yang P. Liu, Aaron Sidford
2022-09-22
Computer Vision and Pattern Recognition · Computer Science
Semi-Supervised Learning with Scarce Annotations
Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Kai Han, Andrea Vedaldi +1
2020-04-23
Data Structures and Algorithms · Computer Science
Towards Tight Bounds for Spectral Sparsification of Hypergraphs
Michael Kapralov, Robert Krauthgamer, Jakab Tardos, Yuichi Yoshida
2021-04-13
Machine Learning · Statistics
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro
2010-02-11
Machine Learning · Computer Science
A Framework of Sparse Online Learning and Its Applications
Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi
2015-07-28
Machine Learning · Computer Science
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui, Tuo Chen, Jing Zhang, Qiong Cao +3
2024-07-16
Computer Vision and Pattern Recognition · Computer Science
SemiContour: A Semi-supervised Learning Approach for Contour Detection
Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
2016-05-18