Dictionary Learning under Symmetries via Group Representations
Fuente:
arXiv
Saved in:
| Main Authors: | Ghosh, Subhroshekhar, Low, Aaron Y. R., Soh, Yong Sheng, Feng, Zhuohang, Tan, Brendan K. Y. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
by: Liang, Geyu, et al.
Published: (2022)
by: Liang, Geyu, et al.
Published: (2022)
Learned Finite-Time Consensus for Distributed Optimization
by: Fainman, Aaron, et al.
Published: (2024)
by: Fainman, Aaron, et al.
Published: (2024)
Graph-Aware Learning Rates for Decentralized Optimization
by: Fainman, Aaron, et al.
Published: (2025)
by: Fainman, Aaron, et al.
Published: (2025)
K-Deep Simplex: Deep Manifold Learning via Local Dictionaries
by: Tankala, Pranay, et al.
Published: (2020)
by: Tankala, Pranay, et al.
Published: (2020)
On the Convergence of Decentralized Stochastic Gradient-Tracking with Finite-Time Consensus
by: Fainman, Aaron, et al.
Published: (2025)
by: Fainman, Aaron, et al.
Published: (2025)
Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization
by: Gao, Yihang, et al.
Published: (2025)
by: Gao, Yihang, et al.
Published: (2025)
Distributionally Robust Power Policies for Wireless Systems under Power Fluctuation Risk
by: Yaylali, Gokberk, et al.
Published: (2024)
by: Yaylali, Gokberk, et al.
Published: (2024)
ODELoRA: Training Low-Rank Adaptation by Solving Ordinary Differential Equations
by: Gao, Yihang, et al.
Published: (2026)
by: Gao, Yihang, et al.
Published: (2026)
Decentralized Stochastic Constrained Optimization via Prox-Linearization
by: Sharma, Shivangi Dubey, et al.
Published: (2026)
by: Sharma, Shivangi Dubey, et al.
Published: (2026)
Stochastic Resource Allocation via Dual Tail Waterfilling
by: Yaylali, Gokberk, et al.
Published: (2023)
by: Yaylali, Gokberk, et al.
Published: (2023)
Multi-frequency tracking via group-sparse optimal transport
by: Haasler, Isabel, et al.
Published: (2024)
by: Haasler, Isabel, et al.
Published: (2024)
Energy-Efficient Data Offloading for Earth Observation Satellite Networks
by: He, Lijun, et al.
Published: (2024)
by: He, Lijun, et al.
Published: (2024)
Waveform Design for Optimal PSL Under Spectral and Unimodular Constraints via Alternating Minimization
by: Huang, Chin-Wei, et al.
Published: (2022)
by: Huang, Chin-Wei, et al.
Published: (2022)
A Unified Theoretic and Algorithmic Framework for Solving Multivariate Linear Model with $\ell^1$-norm Approximation
by: Feng, Zhi-Qiang, et al.
Published: (2025)
by: Feng, Zhi-Qiang, et al.
Published: (2025)
Optimum Beamforming and Grating Lobe Mitigation for Intelligent Reflecting Surfaces
by: Narayanan, Sai Sanjay, et al.
Published: (2024)
by: Narayanan, Sai Sanjay, et al.
Published: (2024)
Pinching Antenna-enabled ISAC Systems: Exploiting Look-Angle Dependence of RCS for Target Diversity
by: Khalili, Ata, et al.
Published: (2025)
by: Khalili, Ata, et al.
Published: (2025)
Log-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)
A Level Set Approach to Online Sensing and Trajectory Optimization with Time Delays
by: Kirchner, Matthew R.
Published: (2019)
by: Kirchner, Matthew R.
Published: (2019)
Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles
by: Pougkakiotis, Spyridon, et al.
Published: (2024)
by: Pougkakiotis, Spyridon, et al.
Published: (2024)
QoS-based Beamforming and Compression Design for Cooperative Cellular Networks via Lagrangian Duality
by: Fan, Xilai, et al.
Published: (2023)
by: Fan, Xilai, et al.
Published: (2023)
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel
by: Suwandi, Richard Cornelius, et al.
Published: (2023)
by: Suwandi, Richard Cornelius, et al.
Published: (2023)
A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Maxmin Dispersion and MIMO Applications
by: Kume, Keita, et al.
Published: (2025)
by: Kume, Keita, et al.
Published: (2025)
Constrained Stochastic Recursive Momentum Successive Convex Approximation
by: Idrees, Basil M., et al.
Published: (2024)
by: Idrees, Basil M., et al.
Published: (2024)
Data-Driven Two-Stage IRS-Aided Sumrate Maximization with Inexact Precoding
by: Hashmi, Hassaan, et al.
Published: (2025)
by: Hashmi, Hassaan, et al.
Published: (2025)
Minimization of Nonsmooth Weakly Convex Function over Prox-regular Set for Robust Low-rank Matrix Recovery
by: Kume, Keita, et al.
Published: (2025)
by: Kume, Keita, et al.
Published: (2025)
Convex Estimation of Sparse-Smooth Power Spectral Densities from Mixtures of Realizations with Application to Weather Radar
by: Kuroda, Hiroki, et al.
Published: (2023)
by: Kuroda, Hiroki, et al.
Published: (2023)
Anchored Spectral Estimator for Rigid Motion Synchronization
by: Zhao, Ziyue, et al.
Published: (2026)
by: Zhao, Ziyue, et al.
Published: (2026)
A Robust EDM Optimization Approach for 3D Single-Source Localization with Angle and Range Measurements
by: Zhao, Mingyu, et al.
Published: (2025)
by: Zhao, Mingyu, et al.
Published: (2025)
Mathematical Optimization-Based Period Estimation with Outliers and Missing Observations
by: Puech, Romain, et al.
Published: (2024)
by: Puech, Romain, et al.
Published: (2024)
Extreme Point Pursuit -- Part I: A Framework for Constant Modulus Optimization
by: Liu, Junbin, et al.
Published: (2024)
by: Liu, Junbin, et al.
Published: (2024)
Appointment scheduling model in healthcare using clustering algorithms
by: Yousefi, Niloofar, et al.
Published: (2019)
by: Yousefi, Niloofar, et al.
Published: (2019)
Notch Filters without Transient Effects: A Constrained Optimization Design
by: Sameni, Reza
Published: (2024)
by: Sameni, Reza
Published: (2024)
Efficient Constrained Signal Reconstruction by Randomized Epigraphical Projection
by: Ono, Shunsuke
Published: (2018)
by: Ono, Shunsuke
Published: (2018)
Sparsity-Enhanced Multilayered Non-Convex Regularization with Epigraphical Relaxation for Debiased Signal Recovery
by: Katsuma, Akari, et al.
Published: (2024)
by: Katsuma, Akari, et al.
Published: (2024)
HBNET-GIANT: A communication-efficient accelerated Newton-type fully distributed optimization algorithm
by: Das, Souvik, et al.
Published: (2025)
by: Das, Souvik, et al.
Published: (2025)
A Semidefinite Relaxation for Sums of Heterogeneous Quadratic Forms on the Stiefel Manifold
by: Gilman, Kyle, et al.
Published: (2022)
by: Gilman, Kyle, et al.
Published: (2022)
Monotone Lipschitz-Gradient Denoiser: Explainability of Operator Regularization Approaches Free From Lipschitz Constant Control
by: Yukawa, Masahiro, et al.
Published: (2024)
by: Yukawa, Masahiro, et al.
Published: (2024)
CISSIR: Beam Codebooks with Self-Interference Reduction Guarantees for Integrated Sensing and Communication Beyond 5G
by: Hernangómez, Rodrigo, et al.
Published: (2025)
by: Hernangómez, Rodrigo, et al.
Published: (2025)
Ambiguity Function Shaping in FMCW Automotive Radar
by: Esmaeilbeig, Zahra, et al.
Published: (2024)
by: Esmaeilbeig, Zahra, et al.
Published: (2024)
Autoregressive Stochastic Clock Jitter Compensation in Analog-to-Digital Converters
by: Gerosa, Daniele, et al.
Published: (2025)
by: Gerosa, Daniele, et al.
Published: (2025)
Similar Items
-
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
by: Liang, Geyu, et al.
Published: (2022) -
Learned Finite-Time Consensus for Distributed Optimization
by: Fainman, Aaron, et al.
Published: (2024) -
Graph-Aware Learning Rates for Decentralized Optimization
by: Fainman, Aaron, et al.
Published: (2025) -
K-Deep Simplex: Deep Manifold Learning via Local Dictionaries
by: Tankala, Pranay, et al.
Published: (2020) -
On the Convergence of Decentralized Stochastic Gradient-Tracking with Finite-Time Consensus
by: Fainman, Aaron, et al.
Published: (2025)