Imagen de Portada

Pseudoconvex Problems in Operational Decision Systems: Algorithms for Joint Learning and Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Zijun, Kannan, Aswin
Formato:	Preprint
Publicado:	2026
Materias:	Optimization and Control 90C26, 90C30, 49M27 F.2.1; G.1.6; I.2.6
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Enhancing Model Based Derivative Free Optimization using Direct Search
por: Li, Zijun, et al.
Publicado: (2026)

Stochastic convergence of parallel asynchronous adaptive first-order methods
por: Gratton, Serge, et al.
Publicado: (2026)

A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad, Shampoo and Muo
por: Gratton, S., et al.
Publicado: (2026)

Complexity of Adagrad and other first-order methods for nonconvex optimization problems with bounds constraints
por: Gratton, Serge, et al.
Publicado: (2024)

Complexity and performance for two classes of noise-tolerant first-order algorithms
por: Gratton, S., et al.
Publicado: (2022)

Escaping Saddle Points via Curvature-Calibrated Perturbations: A Complete Analysis with Explicit Constants and Empirical Validation
por: Alpay, Faruk, et al.
Publicado: (2025)

Multi-Objective Optimization with Desirability and Morris-Mitchell Criterion
por: Bartz-Beielstein, Thomas, et al.
Publicado: (2025)

Adaptive Methods for Multiobjective Unit Commitment
por: Tevruez, Ece, et al.
Publicado: (2025)

prunAdag: an adaptive pruning-aware gradient method
por: Porcelli, Margherita, et al.
Publicado: (2025)

Sequential, Parallel and Consecutive Hybrid Evolutionary-Swarm Optimization Metaheuristics
por: Urbańczyk, Piotr, et al.
Publicado: (2025)

Decentralized Optimization with Topology-Independent Communication
por: Lin, Ying, et al.
Publicado: (2025)

From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization
por: Ahmadi, Farzin, et al.
Publicado: (2026)

Multi-Objective Optimization and Hyperparameter Tuning With Desirability Functions
por: Bartz-Beielstein, Thomas
Publicado: (2025)

Convex Optimization for Alignment and Preference Learning on a Single GPU
por: Feng, Miria, et al.
Publicado: (2026)

TOPSIS-like metaheuristic for LABS problem
por: Urbańczyk, Aleksandra, et al.
Publicado: (2025)

Anarchy in the swarm: Testing informed and uninformed diversity-enhancing mechanisms within PSO framework
por: Urbańczyk, Piotr, et al.
Publicado: (2026)

CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
por: Du, Wenzhang
Publicado: (2025)

Convex Mixed-Integer Nonlinear Programs Derived from Generalized Disjunctive Programming using Cones
por: Neira, David E. Bernal, et al.
Publicado: (2021)

Sparse Training of Neural Networks based on Multilevel Mirror Descent
por: Lunk, Yannick, et al.
Publicado: (2026)

Refining Graphical Neural Network Predictions Using Flow Matching for Optimal Power Flow with Constraint-Satisfaction Guarantee
por: Khanal, Kshitiz
Publicado: (2025)

OPM, a collection of Optimization Problems in Matlab
por: Gratton, Serge, et al.
Publicado: (2021)

Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
por: Urbańczyk, Aleksandra, et al.
Publicado: (2025)

Barrier Algorithms for Constrained Non-Convex Optimization
por: Dvurechensky, Pavel, et al.
Publicado: (2024)

Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes
por: Bartz-Beielstein, Thomas, et al.
Publicado: (2024)

Hybrid LLM and Higher-Order Quantum Approximate Optimization for CSA Collateral Management
por: Jin, Tao, et al.
Publicado: (2025)

PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
por: Tang, Bo, et al.
Publicado: (2022)

Setwise Coordinate Descent for Dual Asynchronous Decentralized Optimization
por: Costantini, Marina, et al.
Publicado: (2025)

Machine Learning Algorithms for Improving Black Box Optimization Solvers
por: Kimiaei, Morteza, et al.
Publicado: (2025)

Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI
por: Bartz-Beielstein, Thomas
Publicado: (2024)

Adaptive Conditional Forest Sampling for Spectral Risk Optimisation under Decision-Dependent Uncertainty
por: Kurbucz, Marcell T.
Publicado: (2026)

Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
por: Ueda, Ryota, et al.
Publicado: (2025)

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming
por: Langenkamp, Linus, et al.
Publicado: (2025)

Last-iterate Convergence of ADMM on Multi-affine Quadratic Equality Constrained Problem
por: Chao, Yutong, et al.
Publicado: (2026)

A Generalized Block-Iterative Projection Method for the Common Fixed Point Problem Induced by Cutters
por: Censor, Yair, et al.
Publicado: (2022)

Measuring diversity. A review and an empirical analysis
por: Parreño, Francisco, et al.
Publicado: (2024)

Anisotropic Gaussian Smoothing for Gradient-based Optimization
por: Starnes, Andrew, et al.
Publicado: (2024)

IGT-OMD: Implicit Gradient Transport for Decision-Focused Learning under Delayed Feedback
por: Amoh, Benjamin, et al.
Publicado: (2026)

FlowAdam: Implicit Regularization via Geometry-Aware Soft Momentum Injection
por: Singh, Devender, et al.
Publicado: (2026)

A simple algorithm for the simple bilevel programming (SBP) problem
por: Dempe, Stephan, et al.
Publicado: (2025)

A cutting plane algorithm for globally solving low dimensional k-means clustering problems
por: Ryner, Martin, et al.
Publicado: (2024)