Stochastic Penalty-Barrier Method for Constrained Machine Learning
cs.LG, cs.AI
Submitted: 2026-05-18
Updated: 2026-10-06
Terminology
Sources
- Asymptotic Differential Algebra and Model Theory of Transseries
- Deep Learning as the Disciplined Construction of Tame Objects
- A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians
- Stochastic subgradient method converges on tame functions
- A Trust-Region Interior-Point Stochastic Sequential Quadratic Programming Method
- Bounds on the Jensen Gap, and Implications for Mean-Concentrated Distributions
- Adam: A Method for Stochastic Optimization
- Fast approximation and learning of binary classification tasks in o-minimal structures using ReLU neural networks
- humancompatible.train: Implementing Optimization Algorithms for Stochastically-Constrained Stochastic Optimization Problems
- Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity
- Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks
- SGDR: Stochastic Gradient Descent with Warm Restarts
- Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming
- Smoothed Proximal Lagrangian Method for Nonlinear Constrained Programs
- Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
- Single-loop Algorithms for Stochastic Non-convex Optimization with Weakly-Convex Constraints
- On the Iteration Complexity of Smoothed Proximal ALM for Nonconvex Optimization Problem with Convex Constraints
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