:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ramirez, Juan, Hashemizadeh, Meraj, Lacoste-Julien, Simon
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Optimization and Control
Online Access:	https://arxiv.org/abs/2505.20628
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
by: Ramirez, Juan, et al.
Published: (2025)

Cooper: A Library for Constrained Optimization in Deep Learning
by: Gallego-Posada, Jose, et al.
Published: (2025)

On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
by: Sohrabi, Motahareh, et al.
Published: (2024)

A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
by: Jiang, Liuyuan, et al.
Published: (2024)

Feasible Learning
by: Ramirez, Juan, et al.
Published: (2025)

Balancing Act: Constraining Disparate Impact in Sparse Models
by: Hashemizadeh, Meraj, et al.
Published: (2023)

Self-Supervised Penalty-Based Learning for Robust Constrained Optimization
by: Benslimane, Wyame, et al.
Published: (2025)

Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
by: Shen, Han, et al.
Published: (2024)

Proximal Operators of Sorted Nonconvex Penalties
by: Gagneux, Anne, et al.
Published: (2025)

On Penalty-based Bilevel Gradient Descent Method
by: Shen, Han, et al.
Published: (2023)

Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties
by: Yang, Kai, et al.
Published: (2020)

CLASP: An online learning algorithm for Convex Losses And Squared Penalties
by: Ferreira, Ricardo N., et al.
Published: (2026)

On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
by: Kwon, Jeongyeol, et al.
Published: (2023)

A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers
by: Linghu, Yuxuan, et al.
Published: (2026)

Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models
by: Xu, Weihang, et al.
Published: (2024)

Efficient Penalty-Based Bilevel Methods: Improved Analysis, Novel Updates, and Flatness Condition
by: Jiang, Liuyuan, et al.
Published: (2025)

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach
by: Feng, Lechen, et al.
Published: (2025)

Penalty-Based First-Order Methods for Bilevel Optimization with Minimax and Constrained Lower-Level Problems
by: Shen, Yiyang, et al.
Published: (2026)

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Non-Penalty Approach
by: Feng, Lechen, et al.
Published: (2025)

Learning Over-Relaxation Policies for ADMM with Convergence Guarantees
by: Lin, Junan, et al.
Published: (2026)

Deep Learning for Two-Stage Robust Integer Optimization
by: Dumouchelle, Justin, et al.
Published: (2023)

FxTS-Net: Fixed-Time Stable Learning Framework for Neural ODEs
by: Luo, Chaoyang, et al.
Published: (2024)

Robust Information Selection for Hypothesis Testing with Misclassification Penalties
by: Bhargav, Jayanth, et al.
Published: (2025)

Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints
by: Ablin, Pierre, et al.
Published: (2023)

On Performance Guarantees for Federated Learning with Personalized Constraints
by: Ebrahimi, Mohammadjavad, et al.
Published: (2026)

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods
by: Hu, Hanyu, et al.
Published: (2025)

Machine Learning for K-adaptability in Two-stage Robust Optimization
by: Julien, Esther, et al.
Published: (2022)

Bayesian Optimisation: Which Constraints Matter?
by: Lin, Xietao Wang, et al.
Published: (2025)

Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution
by: Orvieto, Antonio, et al.
Published: (2022)

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
by: Ovalle, Daniel, et al.
Published: (2025)

Hierarchical Deep Reinforcement Learning Framework for Multi-Year Asset Management Under Budget Constraints
by: Fard, Amir, et al.
Published: (2025)

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

Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices
by: Ao, Ruicheng, et al.
Published: (2025)

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

A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs
by: Coelho, C., et al.
Published: (2023)

Online Learning for Approximately-Convex Functions with Long-term Adversarial Constraints
by: Sarkar, Dhruv, et al.
Published: (2025)

Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
by: Caron, Francois, et al.
Published: (2023)

Mathematical Foundations of Deep Learning
by: Ye, Xiaojing
Published: (2026)

Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates
by: Khatti, Zahra, et al.
Published: (2025)

Offline Reinforcement Learning via Linear-Programming with Error-Bound Induced Constraints
by: Ozdaglar, Asuman, et al.
Published: (2022)