Cover Image

RedEx: Beyond Fixed Representation Methods via Convex Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Daniely, Amit, Schain, Mariano, Yehudai, Gilad
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Weakly Convex Optimization Beyond Lipschitz Continuity
by: Gao, Wenzhi, et al.
Published: (2024)

Are Convex Optimization Curves Convex?
by: Barzilai, Guy, et al.
Published: (2025)

An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
by: Cao, Jincheng, et al.
Published: (2024)

Parametric Nonconvex Optimization via Convex Surrogates
by: Wang, Renzi, et al.
Published: (2026)

Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization
by: Grimmer, Benjamin, et al.
Published: (2023)

Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex Optimization
by: Borodich, Ekaterina, et al.
Published: (2025)

Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2025)

Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
by: Hihat, Massil, et al.
Published: (2023)

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization
by: Liu, Zijian, et al.
Published: (2025)

Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity
by: Gorbunov, Eduard, et al.
Published: (2024)

Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
by: Demidovich, Yury, et al.
Published: (2024)

Adam-SHANG: A Convergent Adam-Type Method for Stochastic Smooth Convex Optimization
by: Yu, Yaxin, et al.
Published: (2026)

Adaptive Proximal Gradient Method for Convex Optimization
by: Malitsky, Yura, et al.
Published: (2023)

Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints
by: Dahal, Hari, et al.
Published: (2023)

Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization
by: Maier, Severin, et al.
Published: (2023)

The Price of Adaptivity in Stochastic Convex Optimization
by: Carmon, Yair, et al.
Published: (2024)

Stochastic Difference-of-Convex Optimization with Momentum
by: Chayti, El Mahdi, et al.
Published: (2025)

Online Convex Optimization with Unbounded Memory
by: Kumar, Raunak, et al.
Published: (2022)

Smooth Quasar-Convex Optimization with Constraints
by: Martínez-Rubio, David
Published: (2025)

Unconstrained Robust Online Convex Optimization
by: Zhang, Jiujia, et al.
Published: (2025)

Online Newton Method for Bandit Convex Optimisation
by: Fokkema, Hidde, et al.
Published: (2024)

Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis
by: Liu, Zijian
Published: (2025)

Faster Fixed-Point Methods for Multichain MDPs
by: Zurek, Matthew, et al.
Published: (2025)

Optimal Rates for Robust Stochastic Convex Optimization
by: Gao, Changyu, et al.
Published: (2024)

Shuffling Momentum Gradient Algorithm for Convex Optimization
by: Tran, Trang H., et al.
Published: (2024)

Online Convex Optimization with Memory and Limited Predictions
by: Wang, Zhengmiao, et al.
Published: (2024)

Online Convex Optimization with a Separation Oracle
by: Mhammedi, Zakaria
Published: (2024)

Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching
by: Attia, Amit, et al.
Published: (2024)

Randomized Geometric Algebra Methods for Convex Neural Networks
by: Wang, Yifei, et al.
Published: (2024)

Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems
by: Buckingham, Jack M., et al.
Published: (2024)

A Passivity-Based Method for Accelerated Convex Optimisation
by: Cho, Namhoon, et al.
Published: (2023)

Adversarial Training of Two-Layer Polynomial and ReLU Activation Networks via Convex Optimization
by: Kuelbs, Daniel, et al.
Published: (2024)

Deep Reinforcement Learning: A Convex Optimization Approach
by: Gattami, Ather
Published: (2024)

The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
by: Livni, Roi
Published: (2024)

Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
by: Sambharya, Rajiv, et al.
Published: (2024)

Online Non-Stationary Stochastic Quasar-Convex Optimization
by: Pun, Yuen-Man, et al.
Published: (2024)

Safe Online Convex Optimization with Multi-Point Feedback
by: Hutchinson, Spencer, et al.
Published: (2024)

Tight Bounds for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2024)

An Optimistic Algorithm for Online Convex Optimization with Adversarial Constraints
by: Lekeufack, Jordan, et al.
Published: (2024)

Constrained Online Convex Optimization with Polyak Feasibility Steps
by: Hutchinson, Spencer, et al.
Published: (2025)