Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Muheng, Zhang, Ruqi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Latent Guided Sampling for Combinatorial Optimization
por: Surendran, Sobihan, et al.
Publicado: (2025)
por: Surendran, Sobihan, et al.
Publicado: (2025)
TreeDQN: Sample-Efficient Off-Policy Reinforcement Learning for Combinatorial Optimization
por: Sorokin, D., et al.
Publicado: (2023)
por: Sorokin, D., et al.
Publicado: (2023)
Unbiased Single-Queried Gradient for Combinatorial Objective
por: Sornwanee, Thanawat
Publicado: (2026)
por: Sornwanee, Thanawat
Publicado: (2026)
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
por: Livni, Roi
Publicado: (2024)
por: Livni, Roi
Publicado: (2024)
Combinatorial Optimization Augmented Machine Learning
por: Schiffer, Maximilian, et al.
Publicado: (2026)
por: Schiffer, Maximilian, et al.
Publicado: (2026)
Adaptive Gradient Normalization and Independent Sampling for (Stochastic) Generalized-Smooth Optimization
por: Yang, Yufeng, et al.
Publicado: (2024)
por: Yang, Yufeng, et al.
Publicado: (2024)
Pointer Networks with Q-Learning for Combinatorial Optimization
por: Barro, Alessandro
Publicado: (2023)
por: Barro, Alessandro
Publicado: (2023)
Policy Gradient Methods for Discrete Time Linear Quadratic Regulator With Random Parameters
por: Li, Deyue
Publicado: (2023)
por: Li, Deyue
Publicado: (2023)
Heuristics for Combinatorial Optimization via Value-based Reinforcement Learning: A Unified Framework and Analysis
por: Davidovich, Orit, et al.
Publicado: (2025)
por: Davidovich, Orit, et al.
Publicado: (2025)
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
por: Zhang, Runyu, et al.
Publicado: (2023)
por: Zhang, Runyu, et al.
Publicado: (2023)
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update
por: Pugacheva, Daria, et al.
Publicado: (2024)
por: Pugacheva, Daria, et al.
Publicado: (2024)
Adaptive Moment Estimation Optimization Algorithm Using Projection Gradient for Deep Learning
por: Li, Yongqi, et al.
Publicado: (2025)
por: Li, Yongqi, et al.
Publicado: (2025)
Faster Gradient Methods for Highly-Smooth Stochastic Bilevel Optimization
por: Chen, Lesi, et al.
Publicado: (2025)
por: Chen, Lesi, et al.
Publicado: (2025)
ASGO: Adaptive Structured Gradient Optimization
por: An, Kang, et al.
Publicado: (2025)
por: An, Kang, et al.
Publicado: (2025)
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location
por: Lodi, Andrea, et al.
Publicado: (2019)
por: Lodi, Andrea, et al.
Publicado: (2019)
Riemannian Stochastic Gradient Method for Nested Composition Optimization
por: Zhang, Dewei, et al.
Publicado: (2022)
por: Zhang, Dewei, et al.
Publicado: (2022)
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
por: Adebiyi, Taiwo A., et al.
Publicado: (2024)
por: Adebiyi, Taiwo A., et al.
Publicado: (2024)
Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
por: Alvo, Matias, et al.
Publicado: (2026)
por: Alvo, Matias, et al.
Publicado: (2026)
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
por: Bu, Fanchen, et al.
Publicado: (2024)
por: Bu, Fanchen, et al.
Publicado: (2024)
ConMeZO: Adaptive Descent-Direction Sampling for Gradient-Free Finetuning of Large Language Models
por: Behric, Lejs Deen, et al.
Publicado: (2025)
por: Behric, Lejs Deen, et al.
Publicado: (2025)
Group Distributionally Robust Optimization with Flexible Sample Queries
por: Bai, Haomin, et al.
Publicado: (2025)
por: Bai, Haomin, et al.
Publicado: (2025)
A Homogenization Approach for Gradient-Dominated Stochastic Optimization
por: Tan, Jiyuan, et al.
Publicado: (2023)
por: Tan, Jiyuan, et al.
Publicado: (2023)
Multi-Timescale Primal Dual Hybrid Gradient with Application to Distributed Optimization
por: Zhang, Junhui, et al.
Publicado: (2025)
por: Zhang, Junhui, et al.
Publicado: (2025)
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
por: Zhang, Liang, et al.
Publicado: (2023)
por: Zhang, Liang, et al.
Publicado: (2023)
Epsilon-Greedy Thompson Sampling to Bayesian Optimization
por: Do, Bach, et al.
Publicado: (2024)
por: Do, Bach, et al.
Publicado: (2024)
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization
por: Li, Huan, et al.
Publicado: (2021)
por: Li, Huan, et al.
Publicado: (2021)
Corridor Geometry in Gradient-Based Optimization
por: Dherin, Benoit, et al.
Publicado: (2024)
por: Dherin, Benoit, et al.
Publicado: (2024)
Differentially Private Optimization with Sparse Gradients
por: Ghazi, Badih, et al.
Publicado: (2024)
por: Ghazi, Badih, et al.
Publicado: (2024)
Neural Solver Selection for Combinatorial Optimization
por: Gao, Chengrui, et al.
Publicado: (2024)
por: Gao, Chengrui, et al.
Publicado: (2024)
A Weighted Gradient Tracking Privacy-Preserving Method for Distributed Optimization
por: Xie, Furan, et al.
Publicado: (2025)
por: Xie, Furan, et al.
Publicado: (2025)
Safe Gradient Flow for Bilevel Optimization
por: Sharifi, Sina, et al.
Publicado: (2025)
por: Sharifi, Sina, et al.
Publicado: (2025)
Optimization of Discrete Parameters Using the Adaptive Gradient Method and Directed Evolution
por: Beinarovich, Andrei, et al.
Publicado: (2024)
por: Beinarovich, Andrei, et al.
Publicado: (2024)
Enhancing Fractional Gradient Descent with Learned Optimizers
por: Sobotka, Jan, et al.
Publicado: (2025)
por: Sobotka, Jan, et al.
Publicado: (2025)
Gradient-Normalized Smoothness for Optimization with Approximate Hessians
por: Semenov, Andrei, et al.
Publicado: (2025)
por: Semenov, Andrei, et al.
Publicado: (2025)
Shuffling Momentum Gradient Algorithm for Convex Optimization
por: Tran, Trang H., et al.
Publicado: (2024)
por: Tran, Trang H., et al.
Publicado: (2024)
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
por: Zhou, Dongruo, et al.
Publicado: (2018)
por: Zhou, Dongruo, et al.
Publicado: (2018)
Proximal Oracles for Optimization and Sampling
por: Liang, Jiaming, et al.
Publicado: (2024)
por: Liang, Jiaming, et al.
Publicado: (2024)
Training Neural ODEs Using Fully Discretized Simultaneous Optimization
por: Shapovalova, Mariia, et al.
Publicado: (2025)
por: Shapovalova, Mariia, et al.
Publicado: (2025)
DOGE-Train: Discrete Optimization on GPU with End-to-end Training
por: Abbas, Ahmed, et al.
Publicado: (2022)
por: Abbas, Ahmed, et al.
Publicado: (2022)
A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems
por: Curtis, Frank E., et al.
Publicado: (2023)
por: Curtis, Frank E., et al.
Publicado: (2023)
Ejemplares similares
-
Latent Guided Sampling for Combinatorial Optimization
por: Surendran, Sobihan, et al.
Publicado: (2025) -
TreeDQN: Sample-Efficient Off-Policy Reinforcement Learning for Combinatorial Optimization
por: Sorokin, D., et al.
Publicado: (2023) -
Unbiased Single-Queried Gradient for Combinatorial Objective
por: Sornwanee, Thanawat
Publicado: (2026) -
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
por: Livni, Roi
Publicado: (2024) -
Combinatorial Optimization Augmented Machine Learning
por: Schiffer, Maximilian, et al.
Publicado: (2026)