3 papers
cs.DC2025
Parallel GPU-Accelerated Randomized Construction of Approximate Cholesky Preconditioners
Tianyu Liang, Chao Chen, Yotam Yaniv +5
We introduce a parallel algorithm to construct a preconditioner for solving a large, sparse linear system where the coefficient matrix is a Laplacian matrix (a.k.a., graph Laplacia…
cs.LG2024
Stratified Non-Negative Tensor Factorization
Alexander Sietsema, Zerrin Vural, James Chapman +2
Non-negative matrix factorization (NMF) and non-negative tensor factorization (NTF) decompose non-negative high-dimensional data into non-negative low-rank components. NMF and NTF…
cs.LG2023
Stratified-NMF for Heterogeneous Data
James Chapman, Yotam Yaniv, Deanna Needell
Non-negative matrix factorization (NMF) is an important technique for obtaining low dimensional representations of datasets. However, classical NMF does not take into account data…