Yuanzhe Xi

Edmond Chow

CoRR, 2024

Randomized linear solvers for computational architectures with straggling workers.

[BibT_eX]

[DOI]

CoRR, 2024

Spectral-Refiner: Fine-Tuning of Accurate Spatiotemporal Neural Operator for Turbulent Flows.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Data-driven linear complexity low-rank approximation of general kernel matrices: A geometric approach.

[BibT_eX]

[DOI]

Edmond Chow

Numer. Linear Algebra Appl., December, 2023

Learning Optimal Multigrid Smoothers via Neural Networks.

[BibT_eX]

[DOI]

Ru Huang

SIAM J. Sci. Comput., June, 2023

Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches.

[BibT_eX]

[DOI]

CoRR, 2023

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices.

[BibT_eX]

[DOI]

CoRR, 2023

MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2023

MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets.

[BibT_eX]

[DOI]

James G. Nagy

SIAM J. Matrix Anal. Appl., June, 2022

Mars and Moon models used for the reproducibility challenge of the Student Cluster Competition at the SC19 conference.

[BibT_eX]

[DOI]

Dataset, May, 2022

parGeMSLR: A parallel multilevel Schur complement low-rank preconditioning and solution package for general sparse matrices.

[BibT_eX]

[DOI]

Parallel Comput., 2022

A Non-perturbative Approach to Computing Seismic Normal Modes in Rotating Planets.

[BibT_eX]

[DOI]

J. Sci. Comput., 2022

An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian.

[BibT_eX]

[DOI]

CoRR, 2022

AUTM flow: atomic unrestricted time machine for monotonic normalizing flows.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

GDA-AM: On the Effectiveness of Solving Min-Imax Optimization via Anderson Mixing.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2021

Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning.

[BibT_eX]

[DOI]

Vassilis Kalantzis

Lior Horesh

SIAM J. Sci. Comput., 2021

A Power Schur Complement Low-Rank Correction Preconditioner for General Sparse Linear Systems.

[BibT_eX]

[DOI]

Qingqing Zheng

SIAM J. Matrix Anal. Appl., 2021

Proxy-GMRES: Preconditioning via GMRES in Polynomial Space.

[BibT_eX]

[DOI]

Xin Ye

SIAM J. Matrix Anal. Appl., 2021

Solve Minimax Optimization by Anderson Acceleration.

[BibT_eX]

[DOI]

CoRR, 2021

Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning.

[BibT_eX]

[DOI]

Vassilis Kalantzis

Lior Horesh

CoRR, 2021

Fast and stable deterministic approximation of general symmetric kernel matrices in high dimensions.

[BibT_eX]

[DOI]

James G. Nagy

CoRR, 2021

Generating a Doppelganger Graph: Resembling but Distinct.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Solving the Three-Dimensional High-frequency Helmholtz Equation Using Contour Integration and Polynomial Preconditioning.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2020

Multicolor low-rank preconditioner for general sparse linear systems.

[BibT_eX]

[DOI]

Qingqing Zheng

Numer. Linear Algebra Appl., 2020

Structured FISTA for image restoration.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2020

An ADMM-LAP method for total variation blind deconvolution of adaptive optics retinal images.

[BibT_eX]

[DOI]

CoRR, 2020

Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Accelerated SGD for Tensor Decomposition of Sparse Count Data.

[BibT_eX]

[DOI]

Huan He

Joyce C. Ho

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Fast and Accurate Tensor Decomposition without a High Performance Computing Machine.

[BibT_eX]

[DOI]

Huan He

Joyce C. Ho

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

The Eigenvalues Slicing Library (EVSL): Algorithms, Implementation, and Software.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2019

2018

Fast Computation of Spectral Densities for Generalized Eigenvalue Problems.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2018

Beyond Automated Multilevel Substructuring: Domain Decomposition with Rational Filtering.

[BibT_eX]

[DOI]

Vassilis Kalantzis

SIAM J. Sci. Comput., 2018

A Hierarchical Low Rank Schur Complement Preconditioner for Indefinite Linear Systems.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2018

SMASH: Structured matrix approximation by separation and hierarchy.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2018

Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2018

2017

A Rational Function Preconditioner For Indefinite Sparse Linear Systems.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2017

2016

Computing Partial Spectra with Least-Squares Rational Filters.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2016

A Thick-Restart Lanczos Algorithm with Polynomial Filtering for Hermitian Eigenvalue Problems.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2016

On the Stability of Some Hierarchical Rank Structured Matrix Algorithms.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2016

An Algebraic Multilevel Preconditioner with Low-Rank Corrections for Sparse Symmetric Matrices.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2016

Schur complement-based domain decomposition preconditioners with low-rank corrections.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2016

2015

Fast Sparse Selected Inversion.

[BibT_eX]

[DOI]

Venkataramanan Balakrishnan

Stephen Cauley

SIAM J. Matrix Anal. Appl., 2015

2014

Superfast and Stable Structured Solvers for Toeplitz Least Squares via Randomized Sampling.

[BibT_eX]

[DOI]

Venkataramanan Balakrishnan

Stephen Cauley

SIAM J. Matrix Anal. Appl., 2014

A Fast Randomized Eigensolver with Structured LDL Factorization Update.

[BibT_eX]

[DOI]

Raymond H. Chan

SIAM J. Matrix Anal. Appl., 2014

2012

A Superfast Structured Solver for Toeplitz Linear Systems via Randomized Sampling.

[BibT_eX]

[DOI]