Mikhail A. Bragin

37 papers A* 2C 1Journal 31Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
AccSPS Learning Rate: Accelerated Convergence Through Decision-Adjusted Levels for Stochastic Polyak Stepsize.
IEEE Trans Autom. Sci. Eng.
Jingtao Qin, Anbang Liu, Mikhail A. Bragin, Nanpeng Yu
2025 J jnl
Accelerating Level-Value Adjustment for the Polyak Stepsize.
J. Optim. Theory Appl.
Anbang Liu, Mikhail A. Bragin, Xi Chen, Xiaohong Guan
2025 J jnl
Reduced-Order Decomposition and Coordination Approach for Markov-Based Stochastic Unit Commitment With Distributed Wind Farms.
IEEE Access
Niranjan Raghunathan, Zongjie Wang, Mikhail A. Bragin, Peter B. Luh, Bing Yan, Tianqiao Zhao, Meng Yue
2024 J jnl
Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling.
IEEE Trans Autom. Sci. Eng.
Anbang Liu, Peter B. Luh, Kailai Sun, Mikhail A. Bragin, Bing Yan
2024 J jnl
Near-Optimal Scheduling for IC Packaging Operations Considering Processing-Time Variations and Factory Practices.
IEEE Robotics Autom. Lett.
Tsung-Han Tsai, Bing Yan, Peter B. Luh, Haw Ching Yang, Mikhail A. Bragin, Fan-Tien Cheng
2024 J jnl
Reforming Quantum Microgrid Formation.
CoRR
Chaofan Lin, Peng Zhang, Mikhail A. Bragin, Yacov A. Shamash
2024 J jnl
Survey on Lagrangian relaxation for MILP: importance, challenges, historical review, recent advancements, and opportunities.
Ann. Oper. Res.
Mikhail A. Bragin
2023 J jnl
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems.
IEEE Access
Jingtao Qin, Yuanqi Gao, Mikhail A. Bragin, Nanpeng Yu
2023 — conf
Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning.
ISQED
Zigeng Wang, Bingbing Li, Xia Xiao, Tianyun Zhang, Mikhail A. Bragin, Bing Yan, Caiwen Ding, Sanguthevar Rajasekaran
2023 J jnl
Lagrangian Relaxation for Mixed-Integer Linear Programming: Importance, Challenges, Recent Advancements, and Opportunities.
CoRR
Mikhail A. Bragin
2023 J jnl
Novel Quality Measure and Efficient Resolution of Convex Hull Pricing for Unit Commitment.
CoRR
Mikhail A. Bragin, Farhan Hyder, Bing Yan, Peter B. Luh, Jinye Zhao, Feng Zhao, Dane A. Schiro, Tongxin Zheng
2023 J jnl
Optimize Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation.
CoRR
Osten Anderson, Nanpeng Yu, Mikhail A. Bragin
2023 J jnl
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning.
CoRR
Shanglin Zhou, Mikhail A. Bragin, Lynn Pepin, Deniz Gurevin, Fei Miao, Caiwen Ding
2023 J jnl
Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning.
ACM Trans. Design Autom. Electr. Syst.
Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding
2023 J jnl
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging.
CoRR
Mikhail A. Bragin, Zuzhao Ye, Nanpeng Yu
2023 A* conf
Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models.
IJCAI
Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail A. Bragin, Ji Li, Caiwen Ding
2022 J jnl
An Innovative Formulation Tightening Approach for Job-Shop Scheduling.
IEEE Trans Autom. Sci. Eng.
Bing Yan, Mikhail A. Bragin, Peter B. Luh
2022 J jnl
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems.
CoRR
Jingtao Qin, Yuanqi Gao, Mikhail A. Bragin, Nanpeng Yu
2022 J jnl
Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge.
Neurocomputing
Shanglin Zhou, Xiaowei Xu, Jun Bai, Mikhail A. Bragin
2022 J jnl
Incorporating FAT and privacy aware AI modeling approaches into business decision making frameworks.
Decis. Support Syst.
Dmitry Zhdanov, Sudip Bhattacharjee, Mikhail A. Bragin
2022 J jnl
Surrogate "Level-Based" Lagrangian Relaxation for Mixed-Integer Linear Programming.
CoRR
Mikhail A. Bragin
2022 J jnl
Toward Agile and Robust Supply Chains: A Lesson from Stochastic Job-Shop Scheduling.
CoRR
Mikhail A. Bragin, Matthew E. Wilhelm, Matthew D. Stuber
2021 J jnl
A Novel Integer Linear Programming Formulation for Job-Shop Scheduling Problems.
IEEE Robotics Autom. Lett.
Anbang Liu, Peter B. Luh, Bing Yan, Mikhail A. Bragin
2021 J jnl
Distributed and Asynchronous Coordination of a Mixed-Integer Linear System via Surrogate Lagrangian Relaxation.
IEEE Trans Autom. Sci. Eng.
Mikhail A. Bragin, Bing Yan, Peter B. Luh
2021 J jnl
Distributed and Asynchronous Operational Optimization of Networked Microgrids.
CoRR
Nima Nikmehr, Mikhail A. Bragin, Peter B. Luh, Peng Zhang
2021 A* conf
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation.
IJCAI
Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao
2021 J jnl
TSO-DSO Operational Planning Coordination through Surrogate Lagrangian Relaxation.
CoRR
Mikhail A. Bragin, Yury Dvorkin
2020 J jnl
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks.
CoRR
Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao
2020 J jnl
Ordinal-Optimization Concept Enabled Decomposition and Coordination of Mixed-Integer Linear Programming Problems.
IEEE Robotics Autom. Lett.
An-Bang Liu, Peter B. Luh, Mikhail A. Bragin, Bing Yan
2020 — conf
Tightened Formulation and Resolution of Energy-Efficient Job-Shop Scheduling.
CASE
Bing Yan, Mikhail A. Bragin, Peter B. Luh
2019 J jnl
A Scalable Solution Methodology for Mixed-Integer Linear Programming Problems Arising in Automation.
IEEE Trans Autom. Sci. Eng.
Mikhail A. Bragin, Peter B. Luh, Bing Yan, Xiaorong Sun
2018 C conf
Active Fault Management for Microgrids.
IECON
Wenfeng Wan, Yan Li, Bing Yan, Mikhail A. Bragin, Jason Philhower, Peng Zhang, Peter B. Luh, Guy Warner
2018 J jnl
Novel Formulation and Resolution of Job-Shop Scheduling Problems.
IEEE Robotics Autom. Lett.
Bing Yan, Mikhail A. Bragin, Peter B. Luh
2017 J jnl
Grid integration of wind generation considering remote wind farms: hybrid markovian and interval unit commitment.
IEEE CAA J. Autom. Sinica
Bing Yan, Haipei Fan, Peter B. Luh, Khosrow Moslehi, Xiaoming Feng, Chien Ning Yu, Mikhail A. Bragin, Yaowen Yu
2016 J jnl
An efficient approach for solving mixed-integer programming problems under the monotonic condition.
J. Control. Decis.
Mikhail A. Bragin, Peter B. Luh, Joseph H. Yan, Gary A. Stern
2015 J jnl
Convergence of the Surrogate Lagrangian Relaxation Method.
J. Optim. Theory Appl.
Mikhail A. Bragin, Peter B. Luh, Joseph H. Yan, Nanpeng Yu, Gary A. Stern
2014 — conf
Energy-efficient building clusters.
CASE
Bing Yan, Peter B. Luh, Mikhail A. Bragin, Chen Song, Chenhui Dong, Zhongxue Gan