Imagen de Portada

Untangling Lariats: Subgradient Following of Variationally Penalized Objectives

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mo, Kai-Chia, Shalev-Shwartz, Shai, Shártov, Nisæl
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Subgradient Method for System Identification with Non-Smooth Objectives
por: Yalcin, Baturalp, et al.
Publicado: (2025)

On the Complexity of Finding Small Subgradients in Nonsmooth Optimization
por: Kornowski, Guy, et al.
Publicado: (2022)

Optimization on a Finer Scale: Bounded Local Subgradient Variation Perspective
por: Diakonikolas, Jelena, et al.
Publicado: (2024)

The Stochastic Conjugate Subgradient Algorithm For Kernel Support Vector Machines
por: Zhang, Di, et al.
Publicado: (2024)

Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity
por: Li, Xiao, et al.
Publicado: (2023)

Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions
por: Zhang, Siyuan, et al.
Publicado: (2024)

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

Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
por: Giampouras, Paris, et al.
Publicado: (2024)

De-singularity Subgradient for the $q$-th-Powered $\ell_p$-Norm Weber Location Problem
por: Lai, Zhao-Rong, et al.
Publicado: (2024)

Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty
por: Faulwasser, T., et al.
Publicado: (2023)

Stochastic Subgradient Methods with Guaranteed Global Stability in Nonsmooth Nonconvex Optimization
por: Xiao, Nachuan, et al.
Publicado: (2023)

Aligned Multi Objective Optimization
por: Efroni, Yonathan, et al.
Publicado: (2025)

Preferential Multi-Objective Bayesian Optimization
por: Astudillo, Raul, et al.
Publicado: (2024)

Distributionally Robust Multi-Objective Optimization
por: Yang, Yufeng, et al.
Publicado: (2026)

A Generic Branch-and-Bound Algorithm for $\ell_0$-Penalized Problems with Supplementary Material
por: Elvira, Clément, et al.
Publicado: (2025)

Unbiased Single-Queried Gradient for Combinatorial Objective
por: Sornwanee, Thanawat
Publicado: (2026)

Private Networked Federated Learning for Nonsmooth Objectives
por: Gauthier, François, et al.
Publicado: (2023)

Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
por: Jiao, Yang, et al.
Publicado: (2023)

Quadratic Objective Perturbation: Curvature-Based Differential Privacy
por: Cortild, Daniel, et al.
Publicado: (2026)

Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives
por: Oikonomidis, Konstantinos, et al.
Publicado: (2026)

MOSS: Multi-Objective Optimization for Stable Rule Sets
por: Liu, Brian, et al.
Publicado: (2025)

Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations
por: Buckingham, Jack M., et al.
Publicado: (2023)

Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints
por: Ziliaskopoulos, Konstantinos, et al.
Publicado: (2026)

FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
por: Chen, Lisha, et al.
Publicado: (2024)

Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems
por: Shang, Chikai, et al.
Publicado: (2024)

Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
por: Ren, Yinuo, et al.
Publicado: (2023)

Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
por: Ye, Rongguang, et al.
Publicado: (2024)

Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning
por: Qiu, Shuang, et al.
Publicado: (2024)

Multi-Objective Optimization-Based Anonymization of Structured Data for Machine Learning Application
por: Wei, Yusi, et al.
Publicado: (2025)

Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation
por: Botache, Diego, et al.
Publicado: (2023)

Chebyshev Center-Based Direction Selection for Multi-Objective Optimization and Training PINNs
por: Yoon, Hoyeol, et al.
Publicado: (2026)

On the Hypomonotone Class of Variational Inequalities
por: Alomar, Khaled, et al.
Publicado: (2024)

Almost Surely $\sqrt{T}$ Regret for Adaptive LQR
por: Lu, Yiwen, et al.
Publicado: (2023)

Locally Adaptive Multi-Objective Learning
por: Kaur, Jivat Neet, et al.
Publicado: (2026)

Multi-Objective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks
por: Bernardelli, Ambrogio Maria, et al.
Publicado: (2022)

Online Optimization on Hadamard Manifolds: Curvature Independent Regret Bounds on Horospherically Convex Objectives
por: Sahinoglu, Emre, et al.
Publicado: (2025)

Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
por: Chen, Lisha, et al.
Publicado: (2025)

Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows
por: Marcotte, Sibylle, et al.
Publicado: (2023)

Variational Entropy Search for Adjusting Expected Improvement
por: Cheng, Nuojin, et al.
Publicado: (2024)

Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
por: Mhanna, Elissa, et al.
Publicado: (2024)