Saved in:
| Main Authors: | Perez, Guillaume, Condat, Laurent, Barlaud, Michel |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2307.09836 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sparse-ProxSkip: Accelerated Sparse-to-Sparse Training in Federated Learning
by: Meinhardt, Georg, et al.
Published: (2024)
by: Meinhardt, Georg, et al.
Published: (2024)
A new Linear Time Bi-level $\ell_{1,\infty}$ projection ; Application to the sparsification of auto-encoders neural networks
by: Barlaud, Michel, et al.
Published: (2024)
by: Barlaud, Michel, et al.
Published: (2024)
Convergence Analysis of the PAGE Stochastic Algorithm for Weakly Convex Finite-Sum Optimization
by: Condat, Laurent, et al.
Published: (2025)
by: Condat, Laurent, et al.
Published: (2025)
An Iteratively Reweighted Method for Sparse Optimization on Nonconvex $\ell_{p}$ Ball
by: Wang, Hao, et al.
Published: (2021)
by: Wang, Hao, et al.
Published: (2021)
BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training
by: Condat, Laurent, et al.
Published: (2026)
by: Condat, Laurent, et al.
Published: (2026)
Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization
by: Guo, Luyao, et al.
Published: (2023)
by: Guo, Luyao, et al.
Published: (2023)
Towards An Efficient Approach for the Nonconvex $\ell_p$ Ball Projection: Algorithm and Analysis
by: Yang, Xiangyu, et al.
Published: (2021)
by: Yang, Xiangyu, et al.
Published: (2021)
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
by: Ang, Andersen, et al.
Published: (2021)
by: Ang, Andersen, et al.
Published: (2021)
TAMUNA: Doubly Accelerated Distributed Optimization with Local Training, Compression, and Partial Participation
by: Condat, Laurent, et al.
Published: (2023)
by: Condat, Laurent, et al.
Published: (2023)
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
by: Condat, Laurent, et al.
Published: (2024)
by: Condat, Laurent, et al.
Published: (2024)
A Simple Linear Convergence Analysis of the Point-SAGA Algorithm
by: Condat, Laurent, et al.
Published: (2024)
by: Condat, Laurent, et al.
Published: (2024)
Implicit Bias of AdamW: $\ell_\infty$ Norm Constrained Optimization
by: Xie, Shuo, et al.
Published: (2024)
by: Xie, Shuo, et al.
Published: (2024)
Sparse Deep Learning Models with the $\ell_1$ Regularization
by: Shen, Lixin, et al.
Published: (2024)
by: Shen, Lixin, et al.
Published: (2024)
Multi-level projection with exponential parallel speedup; Application to sparse auto-encoders neural networks
by: Perez, Guillaume, et al.
Published: (2024)
by: Perez, Guillaume, et al.
Published: (2024)
A Determinantal Approach to a Sharp $\ell^1-\ell^\infty-\ell^2$ Norm Inequality
by: Benitez, Jose Antonio Lara
Published: (2026)
by: Benitez, Jose Antonio Lara
Published: (2026)
Improving Feasibility via Fast Autoencoder-Based Projections
by: Chzhen, Maria, et al.
Published: (2026)
by: Chzhen, Maria, et al.
Published: (2026)
The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications
by: Gruntkowska, Kaja, et al.
Published: (2025)
by: Gruntkowska, Kaja, et al.
Published: (2025)
Follow The Approximate Sparse Leader for No-Regret Online Sparse Linear Approximation
by: Mukhopadhyay, Samrat, et al.
Published: (2025)
by: Mukhopadhyay, Samrat, et al.
Published: (2025)
Feature Starvation as Geometric Instability in Sparse Autoencoders
by: Chaudhry, Faris, et al.
Published: (2026)
by: Chaudhry, Faris, et al.
Published: (2026)
Estimating Higher-Order Mixed Memberships via the $\ell_{2,\infty}$ Tensor Perturbation Bound
by: Agterberg, Joshua, et al.
Published: (2022)
by: Agterberg, Joshua, et al.
Published: (2022)
Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for Linear Programming
by: Lu, Haihao, et al.
Published: (2021)
by: Lu, Haihao, et al.
Published: (2021)
A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections or Strong Convexity
by: Lee, Wei-Cheng, et al.
Published: (2025)
by: Lee, Wei-Cheng, et al.
Published: (2025)
Reinforcement Learning for a Discrete-Time Linear-Quadratic Control Problem with an Application
by: Li, Lucky
Published: (2024)
by: Li, Lucky
Published: (2024)
Sparse Graphical Linear Dynamical Systems
by: Chouzenoux, Emilie, et al.
Published: (2023)
by: Chouzenoux, Emilie, et al.
Published: (2023)
Multivariate Online Linear Regression for Hierarchical Forecasting
by: Hihat, Massil, et al.
Published: (2024)
by: Hihat, Massil, et al.
Published: (2024)
A block-coordinate descent framework for non-convex composite optimization. Application to sparse precision matrix estimation
by: Lauga, Guillaume
Published: (2026)
by: Lauga, Guillaume
Published: (2026)
$\ell_0$ factor analysis
by: Wang, Linyang, et al.
Published: (2024)
by: Wang, Linyang, et al.
Published: (2024)
(Accelerated) Noise-adaptive Stochastic Heavy-Ball Momentum
by: Dang, Anh, et al.
Published: (2024)
by: Dang, Anh, et al.
Published: (2024)
Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications
by: He, Roy Y., et al.
Published: (2024)
by: He, Roy Y., et al.
Published: (2024)
Optimal Cross-Validation for Sparse Linear Regression
by: Cory-Wright, Ryan, et al.
Published: (2023)
by: Cory-Wright, Ryan, et al.
Published: (2023)
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators
by: Han, Yinbin, et al.
Published: (2023)
by: Han, Yinbin, et al.
Published: (2023)
Two-Timescale Optimization Framework for Sparse-Feedback Linear-Quadratic Optimal Control
by: Feng, Lechen, et al.
Published: (2024)
by: Feng, Lechen, et al.
Published: (2024)
Linear regression with overparameterized linear neural networks: Tight upper and lower bounds for implicit $\ell^1$-regularization
by: Matt, Hannes, et al.
Published: (2025)
by: Matt, Hannes, et al.
Published: (2025)
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
by: Selvi, Aras, et al.
Published: (2024)
by: Selvi, Aras, et al.
Published: (2024)
A Unified Primal-Dual Recipe for Accelerating Three-Operator Splitting Methods
by: Sadiev, Abdurakhmon, et al.
Published: (2026)
by: Sadiev, Abdurakhmon, et al.
Published: (2026)
A Nesterov-Accelerated Primal-Dual Splitting Algorithm for Convex Nonsmooth Optimization
by: Condat, Laurent, et al.
Published: (2026)
by: Condat, Laurent, et al.
Published: (2026)
Stochastic Proximal Point Methods for Monotone Inclusions under Expected Similarity
by: Sadiev, Abdurakhmon, et al.
Published: (2024)
by: Sadiev, Abdurakhmon, et al.
Published: (2024)
The Stochastic Multi-Proximal Method for Nonsmooth Optimization
by: Condat, Laurent, et al.
Published: (2025)
by: Condat, Laurent, et al.
Published: (2025)
Near-Optimal Primal-Dual Algorithm for Learning Linear Mixture CMDPs with Adversarial Rewards
by: Yu, Kihyun, et al.
Published: (2026)
by: Yu, Kihyun, et al.
Published: (2026)
Multi-Objective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks
by: Bernardelli, Ambrogio Maria, et al.
Published: (2022)
by: Bernardelli, Ambrogio Maria, et al.
Published: (2022)
Similar Items
-
Sparse-ProxSkip: Accelerated Sparse-to-Sparse Training in Federated Learning
by: Meinhardt, Georg, et al.
Published: (2024) -
A new Linear Time Bi-level $\ell_{1,\infty}$ projection ; Application to the sparsification of auto-encoders neural networks
by: Barlaud, Michel, et al.
Published: (2024) -
Convergence Analysis of the PAGE Stochastic Algorithm for Weakly Convex Finite-Sum Optimization
by: Condat, Laurent, et al.
Published: (2025) -
An Iteratively Reweighted Method for Sparse Optimization on Nonconvex $\ell_{p}$ Ball
by: Wang, Hao, et al.
Published: (2021) -
BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training
by: Condat, Laurent, et al.
Published: (2026)