research
∙
02/23/2019
AliGraph: A Comprehensive Graph Neural Network Platform
An increasing number of machine learning tasks require dealing with larg...
share
research
∙
07/17/2018
Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data
Calcium imaging has revolutionized systems neuroscience, providing the a...
research
∙
05/31/2018
QuickIM: Efficient, Accurate and Robust Influence Maximization Algorithm on Billion-Scale Networks
The Influence Maximization (IM) problem aims at finding k seed vertices ...
research
∙
04/11/2018
Improved Horvitz-Thompson Estimator in Survey Sampling
The Horvitz-Thompson (HT) estimator is widely used in survey sampling. H...
research
∙
04/10/2018
Subsampled Optimization: Statistical Guarantees, Mean Squared Error Approximation, and Sampling Method
For optimization on large-scale data, exactly calculating its solution m...
research
∙
03/02/2018
Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares
In modern data analysis, random sampling is an efficient and widely-used...
research
∙
09/27/2017
Diversified Coherent Core Search on Multi-Layer Graphs
Mining dense subgraphs on multi-layer graphs is an interesting problem, ...
research
∙
02/03/2017
Optimal Subsampling for Large Sample Logistic Regression
For massive data, the family of subsampling algorithms is popular to dow...
research
∙
09/17/2015
Optimal Subsampling Approaches for Large Sample Linear Regression
A significant hurdle for analyzing large sample data is the lack of effe...
research
∙
09/07/2015