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07/03/2023
Tracking Tensor Ring Decompositions of Streaming Tensors
Tensor ring (TR) decomposition is an efficient approach to discover the ...
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03/29/2023
Block-Randomized Stochastic Methods for Tensor Ring Decomposition
Tensor ring (TR) decomposition is a simple but effective tensor network ...
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03/13/2023
CPQR-based randomized algorithms for generalized CUR decompositions
Based on the column pivoted QR decomposition, we propose some randomized...
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01/03/2023
Least product relative error estimation for functional multiplicative model and optimal subsampling
In this paper, we study the functional linear multiplicative model based...
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11/30/2022
Subsampling for tensor least squares: Optimization and statistical perspectives
In this paper, we investigate the random subsampling method for tensor l...
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11/30/2022
Randomized block subsampling Kaczmarz-Motzkin method
By introducing a subsampling strategy, we propose a randomized block Kac...
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10/20/2022
Practical Alternating Least Squares for Tensor Ring Decomposition
Tensor ring (TR) decomposition has been widely applied as an effective a...
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10/15/2022
On sketch-and-project methods for solving tensor equations
We first propose the regular sketch-and-project method for solving tenso...
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10/02/2022
Greedy capped nonlinear Kaczmarz methods
To solve nonlinear problems, we construct two kinds of greedy capped non...
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09/13/2022
Greedy randomized sampling nonlinear Kaczmarz methods
The nonlinear Kaczmarz method was recently proposed to solve the system ...
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09/12/2022
Practical Sketching-Based Randomized Tensor Ring Decomposition
Based on sketching techniques, we propose two randomized algorithms for ...
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05/05/2022
Optimal subsampling for functional quantile regression
Subsampling is an efficient method to deal with massive data. In this pa...
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04/18/2022
Optimal Subsampling for High-dimensional Ridge Regression
We investigate the feature compression of high-dimensional ridge regress...
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04/12/2022
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
Autonomous driving faces great safety challenges for a lack of global pe...
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04/04/2022
Characterizing Parametric and Convergence Stability in Nonconvex and Nonsmooth Optimizations: A Geometric Approach
We consider stability issues in minimizing a continuous (probably parame...
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03/29/2022
Splitting-based randomized iterative methods for solving indefinite least squares problem
The indefinite least squares (ILS) problem is a generalization of the fa...
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03/25/2022
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task
Concurrent perception datasets for autonomous driving are mainly limited...
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01/03/2022
Sketch-and-project methods for tensor linear systems
We first extend the famous sketch-and-project method and its adaptive va...
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10/25/2021
Componentwise perturbation analysis for the generalized Schurdecomposition
By defining two important terms called basic perturbation vectors and ob...
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07/03/2021
On Tightness of the Tsaknakis-Spirakis Algorithm for Approximate Nash Equilibrium
Finding the minimum approximate ratio for Nash equilibrium of bi-matrix ...
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05/22/2021
Convergence directions of the randomized Gauss–Seidel method and its extension
The randomized Gauss–Seidel method and its extension have attracted much...
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05/11/2021
Optimal Sampling Algorithms for Block Matrix Multiplication
In this paper, we investigate the randomized algorithms for block matrix...
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05/11/2021
Preconvergence of the randomized extended Kaczmarz method
In this paper, we analyze the convergence behavior of the randomized ext...
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03/06/2021
Block-Randomized Gradient Descent Methods with Importance Sampling for CP Tensor Decomposition
This work considers the problem of computing the CANDECOMP/PARAFAC (CP) ...
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11/12/2020
Block sampling Kaczmarz-Motzkin methods for consistent linear systems
The sampling Kaczmarz-Motzkin (SKM) method is a generalization of the ra...
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11/12/2020
Greedy Motzkin-Kaczmarz methods for solving linear systems
The famous greedy randomized Kaczmarz (GRK) method uses the greedy selec...
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11/06/2020
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data
We present a fully modular and scalable software pipeline for processing...
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04/08/2020
A novel greedy Gauss-Seidel method for solving large linear least squares problem
We present a novel greedy Gauss-Seidel method for solving large linear l...
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04/06/2020
A Count Sketch Kaczmarz Method For Solving Large Overdetermined Linear Systems
In this paper, combining count sketch and maximal weighted residual Kacz...
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04/06/2020
Greedy Block Gauss-Seidel Methods for Solving Large Linear Least Squares Problem
With a greedy strategy to construct control index set of coordinates fir...
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04/05/2020
A Novel Greedy Kaczmarz Method For Solving Consistent Linear Systems
With a quite different way to determine the working rows, we propose a n...
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02/29/2020
Randomized block Krylov space methods for trace and log-determinant estimators
We present randomized algorithms based on block Krylov space method for ...
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06/17/2019
A Fusion Adversarial Network for Underwater Image Enhancement
Underwater image enhancement algorithms have attracted much attention in...
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05/13/2019
