Andrew C. Eberhard

43 papers A* 2B 2Misc 2Journal 36Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimality and solutions for conic robust multiobjective programs.
J. Glob. Optim.
Thai Doan Chuong, Xinghuo Yu, Andrew C. Eberhard, Chaojie Li, Chen Liu
2024 A* conf
Adaptive Stabilization Based on Machine Learning for Column Generation.
ICML
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang
2024 J jnl
Adaptive Stabilization Based on Machine Learning for Column Generation.
CoRR
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang
2024 J jnl
Bregman Proximal Linearized ADMM for Minimizing Separable Sums Coupled by a Difference of Functions.
J. Optim. Theory Appl.
Tan Nhat Pham, Minh N. Dao, Andrew C. Eberhard, Nargiz Sultanova
2024 J jnl
Fast Gradient Algorithm with Dry-like Friction and Nonmonotone Line Search for Nonconvex Optimization Problems.
SIAM J. Optim.
Lien Thuy Nguyen, Andrew C. Eberhard, Xinghuo Yu, Chaojie Li
2024 J jnl
Finite-Time Nonconvex Optimization Using Time-Varying Dynamical Systems.
J. Optim. Theory Appl.
Lien Thuy Nguyen, Andrew C. Eberhard, Xinghuo Yu, Alexander Y. Kruger, Chaojie Li
2024 J jnl
Hierarchy relaxations for robust equilibrium constrained polynomial problems and applications to electric vehicle charging scheduling.
J. Glob. Optim.
Thai Doan Chuong, Xinghuo Yu, Andrew C. Eberhard, Chaojie Li, Chen Liu
2024 J jnl
Solving Two-stage Quadratic Multiobjective Problems via Optimality and Relaxations.
J. Optim. Theory Appl.
Thai Doan Chuong, Xinghuo Yu, Chen Liu, Andrew C. Eberhard, Chaojie Li
2023 J jnl
A Version of Bundle Trust Region Method with Linear Programming.
J. Optim. Theory Appl.
Shuai Liu, Andrew C. Eberhard, Yousong Luo
2023 J jnl
A study of progressive hedging for stochastic integer programming.
Comput. Optim. Appl.
Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard, Fabricio Oliveira
2023 J jnl
Adaptive solution prediction for combinatorial optimization.
Eur. J. Oper. Res.
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst
2023 Misc conf
Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow.
ADC
Linzhe Cai, Chen Liu, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard
2023 J jnl
Convergences for robust bilevel polynomial programmes with applications.
Optim. Methods Softw.
Thai Doan Chuong, Xinghuo Yu, Andrew C. Eberhard, Chaojie Li, Chen Liu
2023 J jnl
Fixed-Time Gradient Dynamics With Time-Varying Coefficients for Continuous-Time Optimization.
IEEE Trans. Autom. Control.
Lien Thuy Nguyen, Xinghuo Yu, Andrew C. Eberhard, Chaojie Li
2022 A* conf
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring.
AAAI
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst
2022 Misc conf
Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning.
AI
Linzhe Cai, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard, Lien Thuy Nguyen, Thai Doan Chuong
2022 J jnl
The p-Lagrangian relaxation for separable nonconvex MIQCQP problems.
J. Glob. Optim.
Tiago Andrade, Nikita Belyak, Andrew C. Eberhard, Silvio Hamacher, Fabricio Oliveira
2021 J jnl
Convergence rates for boundedly regular systems.
Adv. Comput. Math.
Ernö Robert Csetnek, Andrew C. Eberhard, Matthew K. Tam
2021 J jnl
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring.
CoRR
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst
2021 B conf
Learning Primal Heuristics for Mixed Integer Programs.
IJCNN
Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li
2021 J jnl
Learning Primal Heuristics for Mixed Integer Programs.
CoRR
Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li
2021 J jnl
Performance comparison of feature selection and extraction methods with random instance selection.
Expert Syst. Appl.
Milad Malekipirbazari, Vural Aksakalli, Waleed Shafqat, Andrew C. Eberhard
2020 J jnl
Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems.
Int. Trans. Oper. Res.
Fabricio Oliveira, Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard
2020 J jnl
Explicit Formula for Preimages of Relaxed One-Sided Lipschitz Mappings with Negative Lipschitz Constants: A Geometric Approach.
J. Optim. Theory Appl.
Andrew C. Eberhard, Boris S. Mordukhovich, Janosch Rieger
2019 J jnl
A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems.
Math. Program.
Natashia Boland, Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard, Fabricio Oliveira
2019 J jnl
Bi-objective integer programming analysis based on the characteristic equation.
Int. J. Syst. Assur. Eng. Manag.
Masar Al-Rabeeah, Santosh Kumar, Ali Al-Hasani, Elias Munapo, Andrew C. Eberhard
2019 J jnl
Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming.
J. Glob. Optim.
Tiago Andrade, Fabricio Oliveira, Silvio Hamacher, Andrew C. Eberhard
2019 J jnl
On partial smoothness, tilt stability and the VU -decomposition.
Math. Program.
Andrew C. Eberhard, Yousong Luo, Shuai Liu
2018 J jnl
Combining Progressive Hedging with a Frank-Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming.
SIAM J. Optim.
Natashia Boland, Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard, Jeff T. Linderoth, James R. Luedtke, Fabricio Oliveira
2018 J jnl
On the volatility of blood inventories.
Int. Trans. Oper. Res.
Nigel M. Clay, Babak Abbasi, Andrew C. Eberhard, John Hearne
2016 J jnl
(Convex) Level Sets Integration.
J. Optim. Theory Appl.
Jean-Pierre Crouzeix, Andrew C. Eberhard, Daniel Ralph
2015 J jnl
A Trust Region Method for the Solution of the Surrogate Dual in Integer Programming.
J. Optim. Theory Appl.
Natashia Boland, Andrew C. Eberhard, Angelos Tsoukalas
2015 J jnl
On the augmented Lagrangian dual for integer programming.
Math. Program.
Natashia L. Boland, Andrew C. Eberhard
2014 J jnl
Boosting the feasibility pump.
Math. Program. Comput.
Natashia L. Boland, Andrew C. Eberhard, Faramroze G. Engineer, Matteo Fischetti, Martin W. P. Savelsbergh, Angelos Tsoukalas
2014 B conf
Engaging a class of 2200 digital natives a blended approach.
RCIS
Andrew C. Eberhard, Khushbu Tilvawala, Gabrielle Peko, David Sundaram
2013 J jnl
Maximal quasimonotonicity and dense single-directional properties of quasimonotone operators.
Math. Program.
Didier Aussel, Andrew C. Eberhard
2012 J jnl
A New Approach to the Feasibility Pump in Mixed Integer Programming.
SIAM J. Optim.
Natashia L. Boland, Andrew C. Eberhard, Faramroze G. Engineer, Angelos Tsoukalas
2010 J jnl
A geometrical insight on pseudoconvexity and pseudomonotonicity.
Math. Program.
Jean-Pierre Crouzeix, Andrew C. Eberhard, Daniel Ralph
2009 J jnl
Some Sufficient Optimality Conditions in Nonsmooth Analysis.
SIAM J. Optim.
Andrew C. Eberhard, Robert Bruno Wenczel
2006 J jnl
A Numerical Method for a Class of Mixed Switching and Impulsive Optimal Control Problems.
Comput. Math. Appl.
Yanqun Liu, Andrew C. Eberhard, Kok Lay Teo
2005 — conf
Control System for Optimal Flight Trajectories for Terrain Collision Avoidance.
KES (2)
Tapan Sharma, Cees Bil, Andrew C. Eberhard
2002 J jnl
Fundamental limitations on the time-domain shaping of response to a fixed input.
IEEE Trans. Autom. Control.
Robin D. Hill, Andrew C. Eberhard, Robert Bruno Wenczel, Mark E. Halpern
2000 J jnl
Comments on "Controller design with multiple objectives".
IEEE Trans. Autom. Control.
Robert Bruno Wenczel, Andrew C. Eberhard, Robin D. Hill