:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Minshuo, Liu, Bo, Xin, Bin, Feng, Liang, Li, Peng
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2404.01018
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Hybrid Quantum-Classical Branch-and-Price for Intra-Day Electric Vehicle Charging Scheduling via Partition Coloring
by: Sun, Peng, et al.
Published: (2026)

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

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

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

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

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

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

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

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

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

Enforcing Priority in Schedule-based User Equilibrium Transit Assignment
by: Feng, Liyang, et al.
Published: (2026)

Optimization with Access to Auxiliary Information
by: Chayti, El Mahdi, et al.
Published: (2022)

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
by: Bliek, Laurens, et al.
Published: (2021)