51 citations · 190 across the 18 of their papers we have counts for
5 papers · 1 filter
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction
Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li +2
Computational efficiency is an important consideration for deploying machine learning models for time series prediction in an online setting. Machine learning algorithms adjust mod…
Matrix-free construction of HSS representation using adaptive randomized sampling
Christopher Gorman, Gustavo Chávez, Pieter Ghysels +3
We present new algorithms for the randomized construction of hierarchically semi-separable matrices, addressing several practical issues. The HSS construction algorithms use a part…
A unified software framework for solving traffic assignment problems
Juliette Ugirumurera, Gabriel Gomes, Emily Porter +2
We describe a software framework for solving user equilibrium traffic assignment problems. The design is based on the formulation of the problem as a variational inequality. The so…
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression
Elizaveta Rebrova, Gustavo Chavez, Yang Liu +2
We present memory-efficient and scalable algorithms for kernel methods used in machine learning. Using hierarchical matrix approximations for the kernel matrix the memory requireme…
A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs
Ariful Azad, Aydın Buluc, Xiaoye S. Li +2
We design and implement an efficient parallel algorithm for finding a perfect matching in a weighted bipartite graph such that weights on the edges of the matching are large. This…