Optimal Quantized Compressed Sensing via Projected Gradient Descent
Fuente:
arXiv
Guardado en:
| Autores principales: | Chen, Junren, Yuan, Ming |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
One-Bit Phase Retrieval: Optimal Rates and Efficient Algorithms
por: Chen, Junren, et al.
Publicado: (2024)
por: Chen, Junren, et al.
Publicado: (2024)
Robust Instance Optimal Phase-Only Compressed Sensing
por: Chen, Junren, et al.
Publicado: (2024)
por: Chen, Junren, et al.
Publicado: (2024)
Phase Transitions in Phase-Only Compressed Sensing
por: Chen, Junren, et al.
Publicado: (2025)
por: Chen, Junren, et al.
Publicado: (2025)
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors
por: Chen, Junren, et al.
Publicado: (2024)
por: Chen, Junren, et al.
Publicado: (2024)
Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization
por: Li, Jinsheng, et al.
Publicado: (2024)
por: Li, Jinsheng, et al.
Publicado: (2024)
A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization
por: Chen, Junren, et al.
Publicado: (2025)
por: Chen, Junren, et al.
Publicado: (2025)
Exact Thresholds for Noisy Non-Adaptive Group Testing
por: Chen, Junren, et al.
Publicado: (2024)
por: Chen, Junren, et al.
Publicado: (2024)
Robust Uniform Recovery of Structured Signals from Nonlinear Observations
por: Abdalla, Pedro, et al.
Publicado: (2026)
por: Abdalla, Pedro, et al.
Publicado: (2026)
Optimizing Secrecy Codes Using Gradient Descent
por: Hunn, David, et al.
Publicado: (2024)
por: Hunn, David, et al.
Publicado: (2024)
A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate
por: Chen, Junren, et al.
Publicado: (2023)
por: Chen, Junren, et al.
Publicado: (2023)
Scaled Gradient Descent for Ill-Conditioned Low-Rank Matrix Recovery with Optimal Sampling Complexity
por: Li, Zhenxuan, et al.
Publicado: (2026)
por: Li, Zhenxuan, et al.
Publicado: (2026)
Riemannian Gradient Descent Method to Joint Blind Super-Resolution and Demixing in ISAC
por: Xiang, Zeyu, et al.
Publicado: (2024)
por: Xiang, Zeyu, et al.
Publicado: (2024)
Iterative Gradient Descent Decoding for Real Number LDPC Codes
por: Boncalo, Oana, et al.
Publicado: (2024)
por: Boncalo, Oana, et al.
Publicado: (2024)
Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent
por: Wu, Tong
Publicado: (2025)
por: Wu, Tong
Publicado: (2025)
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models
por: Meng, Xiangming, et al.
Publicado: (2023)
por: Meng, Xiangming, et al.
Publicado: (2023)
Robust Distributed Phase Retrieval for Multi-View Compressive Networked Sensing With Outliers
por: Yang, Ming-Hsun
Publicado: (2025)
por: Yang, Ming-Hsun
Publicado: (2025)
Fast and Provable Simultaneous Blind Super-Resolution and Demixing for Point Source Signals: Scaled Gradient Descent without Regularization
por: Chen, Jinchi
Publicado: (2024)
por: Chen, Jinchi
Publicado: (2024)
Global Convergence Analysis of Vanilla Gradient Descent for Asymmetric Matrix Completion
por: Zhang, Xu, et al.
Publicado: (2025)
por: Zhang, Xu, et al.
Publicado: (2025)
Auto-Calibration and Biconvex Compressive Sensing with Applications to Parallel MRI
por: Ni, Yuan, et al.
Publicado: (2024)
por: Ni, Yuan, et al.
Publicado: (2024)
How Transformers Learn Causal Structure with Gradient Descent
por: Nichani, Eshaan, et al.
Publicado: (2024)
por: Nichani, Eshaan, et al.
Publicado: (2024)
On the Theory of Continual Learning with Gradient Descent for Neural Networks
por: Taheri, Hossein, et al.
Publicado: (2025)
por: Taheri, Hossein, et al.
Publicado: (2025)
Nonconvex Deterministic Matrix Completion by Projected Gradient Descent Methods
por: Xu, Hang, et al.
Publicado: (2024)
por: Xu, Hang, et al.
Publicado: (2024)
On the Optimal Integer-Forcing Precoding: A Geometric Perspective and a Polynomial-Time Algorithm
por: Qin, Junren, et al.
Publicado: (2026)
por: Qin, Junren, et al.
Publicado: (2026)
Sequential Interval Passing for Compressed Sensing
por: Habib, Salman, et al.
Publicado: (2025)
por: Habib, Salman, et al.
Publicado: (2025)
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent
por: Wang, Shuche, et al.
Publicado: (2024)
por: Wang, Shuche, et al.
Publicado: (2024)
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
por: Sefidgaran, Milad, et al.
Publicado: (2025)
por: Sefidgaran, Milad, et al.
Publicado: (2025)
eOptShrinkQ: Near-Lossless KV Cache Compression Through Optimal Spectral Denoising and Quantization
por: Su, Pei-Chun
Publicado: (2026)
por: Su, Pei-Chun
Publicado: (2026)
Low-rank Matrix Sensing With Dithered One-Bit Quantization
por: Yeganegi, Farhang, et al.
Publicado: (2023)
por: Yeganegi, Farhang, et al.
Publicado: (2023)
Optimality of Gradient-MUSIC for spectral estimation
por: Fannjiang, Albert, et al.
Publicado: (2025)
por: Fannjiang, Albert, et al.
Publicado: (2025)
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
por: Kim, Daesung, et al.
Publicado: (2022)
por: Kim, Daesung, et al.
Publicado: (2022)
Robust Mean Estimation under Quantization
por: Abdalla, Pedro, et al.
Publicado: (2026)
por: Abdalla, Pedro, et al.
Publicado: (2026)
Achieving the Fundamental Limit of Lossless Analog Compression via Polarization
por: Yuan, Shuai, et al.
Publicado: (2023)
por: Yuan, Shuai, et al.
Publicado: (2023)
Unlabeled Compressed Sensing from Multiple Measurement Vectors
por: Akrout, Mohamed, et al.
Publicado: (2024)
por: Akrout, Mohamed, et al.
Publicado: (2024)
Compressed Sensing with Upscaled Vector Approximate Message Passing
por: Skuratovs, Nikolajs, et al.
Publicado: (2020)
por: Skuratovs, Nikolajs, et al.
Publicado: (2020)
Distributed Compression for Computation and Bounds on the Optimal Rate
por: Salehi, Mohammad Reza Deylam, et al.
Publicado: (2025)
por: Salehi, Mohammad Reza Deylam, et al.
Publicado: (2025)
Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors
por: Chen, Junren, et al.
Publicado: (2023)
por: Chen, Junren, et al.
Publicado: (2023)
Non-Coherent Over-the-Air Decentralized Gradient Descent
por: Michelusi, Nicolo'
Publicado: (2022)
por: Michelusi, Nicolo'
Publicado: (2022)
Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion
por: Cai, HanQin, et al.
Publicado: (2022)
por: Cai, HanQin, et al.
Publicado: (2022)
Integrated Sensing and Communications for Unsourced Random Access: A Spectrum Sharing Compressive Sensing Approach
por: Zhang, Zhentian, et al.
Publicado: (2025)
por: Zhang, Zhentian, et al.
Publicado: (2025)
Covering Codes as Near-Optimal Quantizers for Distributed Testing Against Independence
por: Khaledian, Fatemeh, et al.
Publicado: (2024)
por: Khaledian, Fatemeh, et al.
Publicado: (2024)
Ejemplares similares
-
One-Bit Phase Retrieval: Optimal Rates and Efficient Algorithms
por: Chen, Junren, et al.
Publicado: (2024) -
Robust Instance Optimal Phase-Only Compressed Sensing
por: Chen, Junren, et al.
Publicado: (2024) -
Phase Transitions in Phase-Only Compressed Sensing
por: Chen, Junren, et al.
Publicado: (2025) -
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors
por: Chen, Junren, et al.
Publicado: (2024) -
Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization
por: Li, Jinsheng, et al.
Publicado: (2024)