Negative Momentum for Convex-Concave Optimization
Fuente:
arXiv
Guardado en:
| Autores principales: | Shugart, Henry, Wang, Shuyi, Altschuler, Jason M. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Negative Stepsizes Make Gradient-Descent-Ascent Converge
por: Shugart, Henry, et al.
Publicado: (2025)
por: Shugart, Henry, et al.
Publicado: (2025)
Min-Max Optimization Is Strictly Easier Than Variational Inequalities
por: Shugart, Henry, et al.
Publicado: (2025)
por: Shugart, Henry, et al.
Publicado: (2025)
Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems
por: Grigorescu, Elena, et al.
Publicado: (2024)
por: Grigorescu, Elena, et al.
Publicado: (2024)
Optimized methods for composite optimization: a reduction perspective
por: Bok, Jinho, et al.
Publicado: (2025)
por: Bok, Jinho, et al.
Publicado: (2025)
Accelerating Proximal Gradient Descent via Silver Stepsizes
por: Bok, Jinho, et al.
Publicado: (2024)
por: Bok, Jinho, et al.
Publicado: (2024)
Convex Optimization with Nested Evolving Feasible Sets
por: M., Karthick Krishna, et al.
Publicado: (2026)
por: M., Karthick Krishna, et al.
Publicado: (2026)
Optimal Decentralized Smoothed Online Convex Optimization
por: Bhuyan, Neelkamal, et al.
Publicado: (2024)
por: Bhuyan, Neelkamal, et al.
Publicado: (2024)
Stepsize Hedging: an Alternative Mechanism for Accelerating Gradient Descent
por: Altschuler, Jason M., et al.
Publicado: (2026)
por: Altschuler, Jason M., et al.
Publicado: (2026)
Acceleration by Stepsize Hedging I: Multi-Step Descent and the Silver Stepsize Schedule
por: Altschuler, Jason M., et al.
Publicado: (2023)
por: Altschuler, Jason M., et al.
Publicado: (2023)
Acceleration by Random Stepsizes: Hedging, Equalization, and the Arcsine Stepsize Schedule
por: Altschuler, Jason M., et al.
Publicado: (2024)
por: Altschuler, Jason M., et al.
Publicado: (2024)
A Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives
por: Grigorescu, Elena, et al.
Publicado: (2024)
por: Grigorescu, Elena, et al.
Publicado: (2024)
Optimal Bounds for Adversarial Constrained Online Convex Optimization
por: Ferreira, Ricardo N., et al.
Publicado: (2025)
por: Ferreira, Ricardo N., et al.
Publicado: (2025)
Non-Euclidean High-Order Smooth Convex Optimization
por: Contreras, Juan Pablo, et al.
Publicado: (2024)
por: Contreras, Juan Pablo, et al.
Publicado: (2024)
Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization
por: Jambulapati, Arun, et al.
Publicado: (2024)
por: Jambulapati, Arun, et al.
Publicado: (2024)
Online Convex Optimization with Switching Cost with Only One Single Gradient Evaluation
por: Shah, Harsh, et al.
Publicado: (2025)
por: Shah, Harsh, et al.
Publicado: (2025)
Oracle-based Uniform Sampling from Convex Bodies
por: Dang, Thanh, et al.
Publicado: (2025)
por: Dang, Thanh, et al.
Publicado: (2025)
Online Resource Allocation with Convex-set Machine-Learned Advice
por: Golrezaei, Negin, et al.
Publicado: (2023)
por: Golrezaei, Negin, et al.
Publicado: (2023)
Efficient Convex Optimization Requires Superlinear Memory
por: Marsden, Annie, et al.
Publicado: (2022)
por: Marsden, Annie, et al.
Publicado: (2022)
Near-Linear Runtime for a Classical Matrix Preconditioning Algorithm
por: Cai, Xufeng, et al.
Publicado: (2025)
por: Cai, Xufeng, et al.
Publicado: (2025)
Multi-LLM Query Optimization
por: Dean, Arlen, et al.
Publicado: (2026)
por: Dean, Arlen, et al.
Publicado: (2026)
Distributionally Robust Optimization with Adversarial Data Contamination
por: Li, Shuyao, et al.
Publicado: (2025)
por: Li, Shuyao, et al.
Publicado: (2025)
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
por: Shi, Wanli, et al.
Publicado: (2024)
por: Shi, Wanli, et al.
Publicado: (2024)
Grams: Gradient Descent with Adaptive Momentum Scaling
por: Cao, Yang, et al.
Publicado: (2024)
por: Cao, Yang, et al.
Publicado: (2024)
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
por: Tarzanagh, Davoud Ataee, et al.
Publicado: (2022)
por: Tarzanagh, Davoud Ataee, et al.
Publicado: (2022)
Optimization on a Finer Scale: Bounded Local Subgradient Variation Perspective
por: Diakonikolas, Jelena, et al.
Publicado: (2024)
por: Diakonikolas, Jelena, et al.
Publicado: (2024)
Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion
por: Cai, Yang, et al.
Publicado: (2022)
por: Cai, Yang, et al.
Publicado: (2022)
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach
por: Zhang, Hongyang R., et al.
Publicado: (2023)
por: Zhang, Hongyang R., et al.
Publicado: (2023)
Isotropic Noise in Stochastic and Quantum Convex Optimization
por: Marsden, Annie, et al.
Publicado: (2025)
por: Marsden, Annie, et al.
Publicado: (2025)
Balancing Gradient and Hessian Queries in Non-Convex Optimization
por: Adil, Deeksha, et al.
Publicado: (2025)
por: Adil, Deeksha, et al.
Publicado: (2025)
Non-Stationary Online Resource Allocation: Learning from a Single Sample
por: Feng, Yiding, et al.
Publicado: (2026)
por: Feng, Yiding, et al.
Publicado: (2026)
Infrequent Resolving Algorithm for Online Linear Programming
por: Li, Guokai, et al.
Publicado: (2024)
por: Li, Guokai, et al.
Publicado: (2024)
Truncated Variance Reduced Value Iteration
por: Jin, Yujia, et al.
Publicado: (2024)
por: Jin, Yujia, et al.
Publicado: (2024)
Gradient Testing and Estimation by Comparisons
por: Tao, Xiwen, et al.
Publicado: (2024)
por: Tao, Xiwen, et al.
Publicado: (2024)
Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
por: Bhuyan, Neelkamal, et al.
Publicado: (2023)
por: Bhuyan, Neelkamal, et al.
Publicado: (2023)
Constrained and Composite Sampling via Proximal Sampler
por: Dang, Thanh, et al.
Publicado: (2026)
por: Dang, Thanh, et al.
Publicado: (2026)
Complexity of Classical Acceleration for $\ell_1$-Regularized PageRank
por: Fountoulakis, Kimon, et al.
Publicado: (2026)
por: Fountoulakis, Kimon, et al.
Publicado: (2026)
Robust Learning of a Group DRO Neuron
por: Cao, Guyang, et al.
Publicado: (2026)
por: Cao, Guyang, et al.
Publicado: (2026)
Online Linear Programming with Replenishment
por: Chen, Yuze, et al.
Publicado: (2026)
por: Chen, Yuze, et al.
Publicado: (2026)
Combinatorial Sparse PCA Beyond the Spiked Identity Model
por: Kumar, Syamantak, et al.
Publicado: (2026)
por: Kumar, Syamantak, et al.
Publicado: (2026)
Learning to Schedule in Parallel-Server Queues with Stochastic Bilinear Rewards
por: Kim, Jung-hun, et al.
Publicado: (2021)
por: Kim, Jung-hun, et al.
Publicado: (2021)
Ejemplares similares
-
Negative Stepsizes Make Gradient-Descent-Ascent Converge
por: Shugart, Henry, et al.
Publicado: (2025) -
Min-Max Optimization Is Strictly Easier Than Variational Inequalities
por: Shugart, Henry, et al.
Publicado: (2025) -
Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems
por: Grigorescu, Elena, et al.
Publicado: (2024) -
Optimized methods for composite optimization: a reduction perspective
por: Bok, Jinho, et al.
Publicado: (2025) -
Accelerating Proximal Gradient Descent via Silver Stepsizes
por: Bok, Jinho, et al.
Publicado: (2024)