EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhai, Haotian, Lawless, Connor, Vitercik, Ellen, Leqi, Liu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Understanding Fixed Predictions via Confined Regions
por: Lawless, Connor, et al.
Publicado: (2025)
por: Lawless, Connor, et al.
Publicado: (2025)
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
por: Dickens, Charles, et al.
Publicado: (2024)
por: Dickens, Charles, et al.
Publicado: (2024)
DualSchool: How Reliable are LLMs for Optimization Education?
por: Klamkin, Michael, et al.
Publicado: (2025)
por: Klamkin, Michael, et al.
Publicado: (2025)
Wait-Less Offline Tuning and Re-solving for Online Decision Making
por: Sun, Jingruo, et al.
Publicado: (2024)
por: Sun, Jingruo, et al.
Publicado: (2024)
Fair Clustering with Minimum Representation Constraints
por: Lawless, Connor, et al.
Publicado: (2024)
por: Lawless, Connor, et al.
Publicado: (2024)
Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less
por: Liu, Yuxing, et al.
Publicado: (2026)
por: Liu, Yuxing, et al.
Publicado: (2026)
Budget-aware Auto Optimizer Configurator
por: Liu, Kang, et al.
Publicado: (2026)
por: Liu, Kang, et al.
Publicado: (2026)
Spatial Transformers for Radio Map Estimation
por: Viet, Pham Q., et al.
Publicado: (2024)
por: Viet, Pham Q., et al.
Publicado: (2024)
Stochastic Optimization of Inventory at Large-scale Supply Chains
por: Jin, Zhaoyang Larry, et al.
Publicado: (2025)
por: Jin, Zhaoyang Larry, et al.
Publicado: (2025)
Constructing Industrial-Scale Optimization Modeling Benchmark
por: Li, Zhong, et al.
Publicado: (2026)
por: Li, Zhong, et al.
Publicado: (2026)
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
por: Yang, Lujie, et al.
Publicado: (2024)
por: Yang, Lujie, et al.
Publicado: (2024)
Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks
por: Kiyani, Elham, et al.
Publicado: (2025)
por: Kiyani, Elham, et al.
Publicado: (2025)
The Newton-Muon Optimizer
por: Du, Zhehang, et al.
Publicado: (2026)
por: Du, Zhehang, et al.
Publicado: (2026)
Riemannian Bilevel Optimization
por: Dutta, Sanchayan, et al.
Publicado: (2024)
por: Dutta, Sanchayan, et al.
Publicado: (2024)
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
por: Sharifnassab, Arsalan, et al.
Publicado: (2024)
por: Sharifnassab, Arsalan, et al.
Publicado: (2024)
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto
por: Wasserkrug, Segev, et al.
Publicado: (2024)
por: Wasserkrug, Segev, et al.
Publicado: (2024)
New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework
por: Ma, Shaocong, et al.
Publicado: (2026)
por: Ma, Shaocong, et al.
Publicado: (2026)
Client-Centric Federated Adaptive Optimization
por: Sun, Jianhui, et al.
Publicado: (2025)
por: Sun, Jianhui, et al.
Publicado: (2025)
On the Condition Number Dependency in Bilevel Optimization
por: Chen, Lesi, et al.
Publicado: (2025)
por: Chen, Lesi, et al.
Publicado: (2025)
Jacobian Descent for Multi-Objective Optimization
por: Quinton, Pierre, et al.
Publicado: (2024)
por: Quinton, Pierre, et al.
Publicado: (2024)
Optimization and Generalization Guarantees for Weight Normalization
por: Cisneros-Velarde, Pedro, et al.
Publicado: (2024)
por: Cisneros-Velarde, Pedro, et al.
Publicado: (2024)
Neural Solver Selection for Combinatorial Optimization
por: Gao, Chengrui, et al.
Publicado: (2024)
por: Gao, Chengrui, et al.
Publicado: (2024)
Dynamic Memory Based Adaptive Optimization
por: Szegedy, Balázs, et al.
Publicado: (2024)
por: Szegedy, Balázs, et al.
Publicado: (2024)
Zeroth-Order Optimization Finds Flat Minima
por: Zhang, Liang, et al.
Publicado: (2025)
por: Zhang, Liang, et al.
Publicado: (2025)
Tree-Preconditioned Differentiable Optimization and Axioms as Layers
por: Liao, Yuexin
Publicado: (2025)
por: Liao, Yuexin
Publicado: (2025)
Search-Optimized Quantization in Biomedical Ontology Alignment
por: Bouaggad, Oussama, et al.
Publicado: (2025)
por: Bouaggad, Oussama, et al.
Publicado: (2025)
A Minimalist Bayesian Framework for Stochastic Optimization
por: Wang, Kaizheng
Publicado: (2025)
por: Wang, Kaizheng
Publicado: (2025)
Understanding Optimization in Deep Learning with Central Flows
por: Cohen, Jeremy M., et al.
Publicado: (2024)
por: Cohen, Jeremy M., et al.
Publicado: (2024)
Hierarchical Mixture-of-Experts with Two-Stage Optimization
por: Molodtsov, Gleb, et al.
Publicado: (2026)
por: Molodtsov, Gleb, et al.
Publicado: (2026)
Bayesian Optimization for Hyperparameters Tuning in Neural Networks
por: Onorato, Gabriele
Publicado: (2024)
por: Onorato, Gabriele
Publicado: (2024)
Intersectional Fairness via Mixed-Integer Optimization
por: Němeček, Jiří, et al.
Publicado: (2026)
por: Němeček, Jiří, et al.
Publicado: (2026)
Anytime Training with Schedule-Free Spectral Optimization
por: Apte, Anuj, et al.
Publicado: (2026)
por: Apte, Anuj, et al.
Publicado: (2026)
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
por: Chen, Lizhang, et al.
Publicado: (2023)
por: Chen, Lizhang, et al.
Publicado: (2023)
On Some Tunable Multi-fidelity Bayesian Optimization Frameworks
por: Manoj, Arjun, et al.
Publicado: (2025)
por: Manoj, Arjun, et al.
Publicado: (2025)
How Memory in Optimization Algorithms Implicitly Modifies the Loss
por: Cattaneo, Matias D., et al.
Publicado: (2025)
por: Cattaneo, Matias D., et al.
Publicado: (2025)
A Novel Unified Parametric Assumption for Nonconvex Optimization
por: Riabinin, Artem, et al.
Publicado: (2025)
por: Riabinin, Artem, et al.
Publicado: (2025)
Learning Branching Policies for MILPs with Proximal Policy Optimization
por: Mhamed, Abdelouahed Ben, et al.
Publicado: (2025)
por: Mhamed, Abdelouahed Ben, et al.
Publicado: (2025)
LLM Serving Optimization with Variable Prefill and Decode Lengths
por: Wang, Meixuan, et al.
Publicado: (2025)
por: Wang, Meixuan, et al.
Publicado: (2025)
Predictive and Prescriptive AI toward Optimizing Wildfire Suppression
por: Boussioux, Leonard, et al.
Publicado: (2026)
por: Boussioux, Leonard, et al.
Publicado: (2026)
Neur2BiLO: Neural Bilevel Optimization
por: Dumouchelle, Justin, et al.
Publicado: (2024)
por: Dumouchelle, Justin, et al.
Publicado: (2024)
Ejemplares similares
-
Understanding Fixed Predictions via Confined Regions
por: Lawless, Connor, et al.
Publicado: (2025) -
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
por: Dickens, Charles, et al.
Publicado: (2024) -
DualSchool: How Reliable are LLMs for Optimization Education?
por: Klamkin, Michael, et al.
Publicado: (2025) -
Wait-Less Offline Tuning and Re-solving for Online Decision Making
por: Sun, Jingruo, et al.
Publicado: (2024) -
Fair Clustering with Minimum Representation Constraints
por: Lawless, Connor, et al.
Publicado: (2024)