Cover Image

Generalized Decision Focused Learning under Imprecise Uncertainty--Theoretical Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shariatmadar, Keivan, Yorke-Smith, Neil, Osman, Ahmad, Cuzzolin, Fabio, Hallez, Hans, Moens, David
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Optimization and Control Probability 68T37 90C70 49N30 F.4; G.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the resolution of $\ell_1$-norm minimization via a two-metric adaptive projection method
by: Wu, Hanju, et al.
Published: (2025)

Modified parameter of Dai Liao conjugacy condition of the conjugate gradient method
by: Alhawarat, Ahmad
Published: (2023)

Exploiting cone approximations in an augmented Lagrangian method for conic optimization
by: Fukuda, Mituhiro, et al.
Published: (2024)

Modified limited memory BFGS with displacement aggregation and its application to the largest eigenvalue problem
by: Sahu, Manish Kumar, et al.
Published: (2023)

Switching Point Optimization for Abstract Parabolic Equations
by: Buchheim, Christoph, et al.
Published: (2026)

Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training
by: He, Chuan, et al.
Published: (2025)

Variational Poisson Denoising via Augmented Lagrangian Methods
by: Kanzow, Christian, et al.
Published: (2023)

Vector-Valued Integer Optimal Control with TV Regularization: Optimality Conditions and Algorithmic Treatment
by: Marko, Jonas, et al.
Published: (2024)

Integer optimal control problems with total variation regularization: Optimality conditions and fast solution of subproblems
by: Marko, Jonas, et al.
Published: (2022)

An Efficient Stochastic First-Order Algorithm for Nonconvex-Strongly Concave Minimax Optimization beyond Lipschitz Smoothness
by: Gao, Yan, et al.
Published: (2026)

Accelerated stochastic first-order method for convex optimization under heavy-tailed noise
by: He, Chuan, et al.
Published: (2025)

A Second-Order Algorithm Based on Affine Scaling Interior-Point Methods for nonlinear Optimisation with bound constraints
by: Pei, Yonggang, et al.
Published: (2026)

Randomized Submanifold Subgradient Method for Optimization over Stiefel Manifolds
by: Cheung, Andy Yat-Ming, et al.
Published: (2024)

Efficient Implementation of Third-Order Tensor Methods with Adaptive Regularization for Unconstrained Optimization
by: Cartis, Coralia, et al.
Published: (2024)

Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems
by: King-Roskamp, Matthew, et al.
Published: (2024)

Flexible block-iterative analysis for the Frank-Wolfe algorithm
by: Braun, Gábor, et al.
Published: (2024)

On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation
by: Bollapragada, Raghu, et al.
Published: (2025)

The Grimmer--Shu--Wang Certificate and the Drori--Teboulle Minimax Constant-Stepsize Bound for $N\ge 3$
by: Zhang, Lixing
Published: (2026)

Alternating Gradient-Type Algorithm for Bilevel Optimization with Inexact Lower-Level Solutions via Moreau Envelope-based Reformulation
by: Bai, Xiaoning, et al.
Published: (2024)

A cut-and-project perspective for linearized Bregman iterations
by: Dai, Yu-Hong, et al.
Published: (2024)

Rockafellian Relaxation for PDE-Constrained Optimization with Distributional Uncertainty
by: Antil, Harbir, et al.
Published: (2024)

Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise
by: He, Chuan, et al.
Published: (2025)

Level Constrained First Order Methods for Function Constrained Optimization
by: Boob, Digvijay, et al.
Published: (2022)

Optimization Problems with Difference of Tangentially Convex Functions under Uncertainty
by: Mashkoorzadeh, Feryal, et al.
Published: (2026)

A stochastic first-order method with multi-extrapolated momentum for highly smooth unconstrained optimization
by: He, Chuan
Published: (2024)

A multiscale Consensus-Based algorithm for multi-level optimization
by: Herty, Michael, et al.
Published: (2024)

Constraint Identification and Algorithm Stabilization for Degenerate Nonlinear Programs
by: Wright, Stephen J.
Published: (2000)

A Numerical Analysis for Pursuit-Evasion Games under the Stackelberg Eqilibrium
by: Horie, Kazuhiro
Published: (2026)

Risk-averse optimization under distributional uncertainty with Rockafellian relaxation
by: Antil, Harbir, et al.
Published: (2026)

Dimension-free estimators of gradients of functions with(out) non-independent variables
by: Lamboni, Matieyendou
Published: (2025)

Augmented Lagrangian methods for fully convex composite optimization
by: De Marchi, Alberto, et al.
Published: (2025)

Trust-Region Method for Optimization of Set-Valued Maps Given by Finitely Many Functions
by: Ghosh, Suprova, et al.
Published: (2025)

A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization
by: Fang, Changjie, et al.
Published: (2025)

On the Convergence of Interior-Point Methods for Bound-Constrained Nonlinear Optimization Problems with Noise
by: Dezfulian, Shima, et al.
Published: (2024)

Local Convergence Results for Sequential Quadratic Programming with Complementarity Constraints
by: Nurkanović, Armin
Published: (2026)

A Globally Convergent Method for Computing B-stationary Points of Mathematical Programs with Equilibrium Constraints
by: Nurkanović, Armin, et al.
Published: (2025)

First- and Second-Order Stochastic Adaptive Regularization with Cubics: High Probability Iteration and Sample Complexity
by: Scheinberg, Katya, et al.
Published: (2023)

A Proximal-Gradient Method for Solving Regularized Optimization Problems with General Constraints
by: Curtis, Frank E., et al.
Published: (2025)

A Proximal-Gradient Method for Constrained Optimization
by: Dai, Yutong, et al.
Published: (2024)

Retrospective Approximation Sequential Quadratic Programming for Stochastic Optimization with General Deterministic Nonlinear Constraints
by: Berahas, Albert S., et al.
Published: (2025)