Saved in:
| Main Authors: | Wu, Cho-Ying, Ding, Jian-Jiun |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/1906.02433 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
by: Zhu, Linglingzhi, et al.
Published: (2026)
by: Zhu, Linglingzhi, et al.
Published: (2026)
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction
by: Wu, Cho-Ying, et al.
Published: (2019)
by: Wu, Cho-Ying, et al.
Published: (2019)
Constrained Ensemble Langevin Monte Carlo
by: Ding, Zhiyan, et al.
Published: (2021)
by: Ding, Zhiyan, et al.
Published: (2021)
Sketching Low-Rank Plus Diagonal Matrices
by: Fernandez, Andres, et al.
Published: (2025)
by: Fernandez, Andres, et al.
Published: (2025)
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation
by: Katende, Ronald
Published: (2025)
by: Katende, Ronald
Published: (2025)
Operator SVD with Neural Networks via Nested Low-Rank Approximation
by: Ryu, J. Jon, et al.
Published: (2024)
by: Ryu, J. Jon, et al.
Published: (2024)
An Augmented Backward-Corrected Projector Splitting Integrator for Dynamical Low-Rank Training
by: Kusch, Jonas, et al.
Published: (2025)
by: Kusch, Jonas, et al.
Published: (2025)
Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks
by: Schotthöfer, Steffen, et al.
Published: (2025)
by: Schotthöfer, Steffen, et al.
Published: (2025)
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
by: Lu, Songtao
Published: (2022)
by: Lu, Songtao
Published: (2022)
Low-Rank Adversarial PGD Attack
by: Savostianova, Dayana, et al.
Published: (2024)
by: Savostianova, Dayana, et al.
Published: (2024)
A Unified Approach to Analysis and Design of Denoising Markov Models
by: Ren, Yinuo, et al.
Published: (2025)
by: Ren, Yinuo, et al.
Published: (2025)
Low-Rank Compression of Pretrained Models via Randomized Subspace Iteration
by: Pourkamali-Anaraki, Farhad
Published: (2026)
by: Pourkamali-Anaraki, Farhad
Published: (2026)
Low-Rank Approximation, Adaptation, and Other Tales
by: Lu, Jun
Published: (2024)
by: Lu, Jun
Published: (2024)
LAMA: Stable Dual-Domain Deep Reconstruction For Sparse-View CT
by: Ding, Chi, et al.
Published: (2024)
by: Ding, Chi, et al.
Published: (2024)
Provable Emergence of Deep Neural Collapse and Low-Rank Bias in $L^2$-Regularized Nonlinear Networks
by: Zangrando, Emanuele, et al.
Published: (2024)
by: Zangrando, Emanuele, et al.
Published: (2024)
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
by: Huang, Feihu, et al.
Published: (2023)
by: Huang, Feihu, et al.
Published: (2023)
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure
by: Dereziński, Michał, et al.
Published: (2025)
by: Dereziński, Michał, et al.
Published: (2025)
Random Subspace Cubic-Regularization Methods, with Applications to Low-Rank Functions
by: Cartis, Coralia, et al.
Published: (2025)
by: Cartis, Coralia, et al.
Published: (2025)
Lee and Seung (2000)'s Algorithms for Non-negative Matrix Factorization: A Supplementary Proof Guide
by: Cho, Sungjae
Published: (2025)
by: Cho, Sungjae
Published: (2025)
Adaptive Lipschitz-Free Conditional Gradient Methods for Stochastic Composite Nonconvex Optimization
by: Yuan, Ganzhao
Published: (2026)
by: Yuan, Ganzhao
Published: (2026)
Policy Gradient with Second Order Momentum
by: Sun, Tianyu
Published: (2025)
by: Sun, Tianyu
Published: (2025)
Quantitative Convergences of Lie Group Momentum Optimizers
by: Kong, Lingkai, et al.
Published: (2024)
by: Kong, Lingkai, et al.
Published: (2024)
An Accelerated Newton-GMRES Method for Multilinear PageRank
by: Boubekraoui, Maryam, et al.
Published: (2025)
by: Boubekraoui, Maryam, et al.
Published: (2025)
Escaping Spectral Bias without Backpropagation: Fast Implicit Neural Representations with Extreme Learning Machines
by: Cho, Woojin, et al.
Published: (2026)
by: Cho, Woojin, et al.
Published: (2026)
Trust-Region Methods with Low-Fidelity Objective Models
by: Angino, Andrea, et al.
Published: (2025)
by: Angino, Andrea, et al.
Published: (2025)
A Constrained Multi-Fidelity Bayesian Optimization Method
by: Wang, Jingyi, et al.
Published: (2025)
by: Wang, Jingyi, et al.
Published: (2025)
Accelerating Power Method with Fast Sketching for Stronger Low-Rank Approximation
by: Chenakkod, Shabarish, et al.
Published: (2026)
by: Chenakkod, Shabarish, et al.
Published: (2026)
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
by: Chen, Jie
Published: (2024)
by: Chen, Jie
Published: (2024)
Step-Size Decay and Structural Stagnation in Greedy Sparse Learning
by: Berná, Pablo M.
Published: (2026)
by: Berná, Pablo M.
Published: (2026)
Solving Nonlinear PDEs with Sparse Radial Basis Function Networks
by: Shao, Zihan, et al.
Published: (2025)
by: Shao, Zihan, et al.
Published: (2025)
LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models
by: Budzinskiy, Stanislav, et al.
Published: (2026)
by: Budzinskiy, Stanislav, et al.
Published: (2026)
Mode-Shape Expansion Using Physics-Constrained Gaussian Process Regression
by: Ghahari, Farid
Published: (2026)
by: Ghahari, Farid
Published: (2026)
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data
by: Norman, Grant, et al.
Published: (2024)
by: Norman, Grant, et al.
Published: (2024)
Sparse discovery of differential equations based on multi-fidelity Gaussian process
by: Meng, Yuhuang, et al.
Published: (2024)
by: Meng, Yuhuang, et al.
Published: (2024)
Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs
by: Yang, Zherui, et al.
Published: (2025)
by: Yang, Zherui, et al.
Published: (2025)
In-Flight Estimation of Instrument Spectral Response Functions Using Sparse Representations
by: Haouari, Jihanne El, et al.
Published: (2024)
by: Haouari, Jihanne El, et al.
Published: (2024)
A Discrete Perspective Towards the Construction of Sparse Probabilistic Boolean Networks
by: Fok, Christopher H., et al.
Published: (2024)
by: Fok, Christopher H., et al.
Published: (2024)
A Family of Controllable Momentum Coefficients for Forward-Backward Accelerated Algorithms
by: Fu, Mingwei, et al.
Published: (2025)
by: Fu, Mingwei, et al.
Published: (2025)
Differentiable Inverse Modeling with Physics-Constrained Latent Diffusion for Heterogeneous Subsurface Parameter Fields
by: Lin, Zihan, et al.
Published: (2025)
by: Lin, Zihan, et al.
Published: (2025)
Concatenated Matrix SVD: Compression Bounds, Incremental Approximation, and Error-Constrained Clustering
by: Shamrai, Maksym
Published: (2026)
by: Shamrai, Maksym
Published: (2026)
Similar Items
-
Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
by: Zhu, Linglingzhi, et al.
Published: (2026) -
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction
by: Wu, Cho-Ying, et al.
Published: (2019) -
Constrained Ensemble Langevin Monte Carlo
by: Ding, Zhiyan, et al.
Published: (2021) -
Sketching Low-Rank Plus Diagonal Matrices
by: Fernandez, Andres, et al.
Published: (2025) -
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation
by: Katende, Ronald
Published: (2025)