Copertina

Accelerate Solving Expensive Scheduling by Leveraging Economical Auxiliary Tasks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Minshuo, Liu, Bo, Xin, Bin, Feng, Liang, Li, Peng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Parameter-Efficient Subspace Optimization for LLM Fine-Tuning
di: Lou, Yuchen, et al.
Pubblicazione: (2025)

Constrained Efficient Global Optimization of Expensive Black-box Functions
di: Xu, Wenjie, et al.
Pubblicazione: (2022)

Importance Sampling in Expensive Finite-Sum Optimization via Contextual Bandit Methods
di: Menickelly, Matt
Pubblicazione: (2026)

Eliminating Persistent Boundary Residence via Matrosov-Type Auxiliary Functions
di: Han, Tianyu, et al.
Pubblicazione: (2026)

Accelerated Gradient Descent by Concatenation of Stepsize Schedules
di: Zhang, Zehao, et al.
Pubblicazione: (2024)

Leveraging Electric School Buses for Disaster Recovery: Optimizing Routing and Energy Scheduling via Branch-and-Price
di: Dolatabadi, Sayed Hamid Hosseini, et al.
Pubblicazione: (2025)

Accelerating Gradient Tracking with Periodic Global Averaging
di: Feng, Shujing, et al.
Pubblicazione: (2024)

Expensive control of long-time averages using sum of squares and its application to a laminar wake flow
di: Huang, Deqing, et al.
Pubblicazione: (2016)

Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty
di: Liu, Rong-Peng, et al.
Pubblicazione: (2023)

Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization
di: Nguyen, Quang-Huy, et al.
Pubblicazione: (2023)

An Online Algorithm for Solving Feedback Optimal Control Problems with Partial Observations
di: Liang, Siming, et al.
Pubblicazione: (2024)

Acceleration by Stepsize Hedging II: Silver Stepsize Schedule for Smooth Convex Optimization
di: Altschuler, Jason M., et al.
Pubblicazione: (2023)

System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems
di: Bussemaker, Jasper H., et al.
Pubblicazione: (2025)

Learning to Solve Bilevel Programs with Binary Tender
di: Zhou, Bo, et al.
Pubblicazione: (2024)

Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning
di: Li, Hongpei, et al.
Pubblicazione: (2024)

An Accelerated Proximal Alternating Direction Method of Multipliers for Optimal Decentralized Control of Uncertain Systems
di: Yang, Bo, et al.
Pubblicazione: (2023)

Asymptotically Optimal Appointment Scheduling in the Presence of Patient Unpunctuality
di: Lipscomb, Nikolai, et al.
Pubblicazione: (2024)

Diffusion Model for Data-Driven Black-Box Optimization
di: Li, Zihao, et al.
Pubblicazione: (2024)

An Evolutionary Task Scheduling Algorithm Using Fuzzy Fitness Evaluation Method for Communication Satellite Network
di: Jiang, Xuemei, et al.
Pubblicazione: (2024)

Randomized Algorithms for Solving Singular Value Decomposition Problems with Matlab Toolbox
di: Li, Xiaowen
Pubblicazione: (2024)

Solve Crude Oil Scheduling Problems by Using Quantum-Classical Hybrid Algorithms
di: Yang, Jian, et al.
Pubblicazione: (2026)

Inexact Accelerated Proximal Gradient Method Revisit: An Economical Variant via Shadow Points
di: Yang, Lei, et al.
Pubblicazione: (2025)

Accelerated Zero-Order SGD Method for Solving the Black Box Optimization Problem under "Overparametrization" Condition
di: Lobanov, Aleksandr, et al.
Pubblicazione: (2023)

The Nesterov-Spokoiny Acceleration Achieves Strict $o(1/k^2)$ Convergence
di: Peng, Weibin, et al.
Pubblicazione: (2023)

Machine Learning for Scheduling: A Paradigm Shift from Solver-Centric to Data-Centric Approaches
di: Liu, Anbang, et al.
Pubblicazione: (2025)

Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
di: Chen, Lizhang, et al.
Pubblicazione: (2023)

Dual Acceleration for Minimax Optimization: Linear Convergence Under Relaxed Assumptions
di: Li, Jingwang, et al.
Pubblicazione: (2025)

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
di: Li, Wenhao, et al.
Pubblicazione: (2025)

Auxiliary-Variable Adaptive Control Lyapunov Barrier Functions for Spatio-Temporally Constrained Safety-Critical Applications
di: Liu, Shuo, et al.
Pubblicazione: (2024)

Scheduling problems of aircraft on a same runway and dual runways
di: Lin, Peng, et al.
Pubblicazione: (2025)

Economic Capacity Withholding Bounds of Competitive Energy Storage Bidders
di: Qin, Xin, et al.
Pubblicazione: (2024)

Solving Schrödinger bridge problem via continuous normalizing flow
di: Jing, Yang, et al.
Pubblicazione: (2025)

Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems
di: Liu, Anbang, et al.
Pubblicazione: (2025)

Solving separable convex optimization problems: Faster prediction-correction framework
di: Zhang, Tao, et al.
Pubblicazione: (2023)

Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications
di: Bartoli, Nathalie, et al.
Pubblicazione: (2025)

New Approximation Guarantees for The Economic Warehouse Lot Scheduling Problem
di: Segev, Danny
Pubblicazione: (2024)

Distributionally Robust Optimization for Chemotherapy Scheduling under Asymmetric and Multi-Modal Uncertainty
di: Zhu, Qing, et al.
Pubblicazione: (2025)

Economic Warehouse Lot Scheduling: Breaking the 2-Approximation Barrier
di: Segev, Danny
Pubblicazione: (2026)

Scheduling Electricity Production Units to Mitigate Severe Weather Impact: An Efficient Computational Implementation
di: Dai, Yongzheng, et al.
Pubblicazione: (2026)

A Network Flow Approach to Optimal Scheduling in Supply Chain Logistics
di: Wang, Yichen, et al.
Pubblicazione: (2024)