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Papers matching “convex optimization” 76

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Convex Optimization for Parameter Synthesis in MDPs
2021 IEEE Transactions on Automatic Control article Computer Science Formal Methods in Verification Open access

Murat Cubuktepe, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen, Ufuk Topcu

21

citations
Generalized Saddle Points Seeking Algorithms for Convex Optimization Problems
2024 2006 14th Mediterranean Conference on Control and Automation conference-paper Computer Science Optimization and Variational Analysis

Victoria Grushkovskaya, Christian Ebenbauer

0

citations
A Tutorial on Convex Design of Optimization Algorithms by Integral Quadratic Constraints
2025 Annual Review of Control Robotics and Autonomous Systems review Computer Science Stochastic Gradient Optimization Techniques Open access

Carsten W. Scherer, Christian Ebenbauer

3

citations
Quantum Optimization: Potential, Challenges, and the Path Forward
2023 report Computer Science Quantum Computing Algorithms and Architecture Open access

Amira Abbas, USDOE National Nuclear Security Administration (NNSA), Andris Ambainis, Brandon Augustino, Andreas Bärtschi, Harry Buhrman, +40 more

60

citations
Continuous optimization
2025 Cambridge University Press eBooks book-chapter Computer Science Quantum Computing Algorithms and Architecture Open access

Sam McArdle, Connor T. Hann, Aleksander Kubica, Fernando G. S. L. Brandão

0

citations
Data Freshness Optimization in Relaying Network Operating with Finite Blocklength Codes
2021 Globecom conference-paper Computer Science Age of Information Optimization

Xiaopeng Yuan, Yao Lin Zhu, Hao Jiang, Yulin Hu, Anke Schmeink

16

citations
The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems
2023 Mathematical and Computational Applications article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Michael Emmerich, Andre H. Deutz, Víctor Adrián Sosa Hernández, Oliver Schütze

3

citations
Kinetic models for optimization: A unified mathematical framework for metaheuristics
2026 EMS series of congress reports book-chapter Computer Science Metaheuristic Optimization Algorithms Research Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

0

citations
Exploiting Structure with Anisotropic Consensus-Based Optimization
2026 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Sabrina Bonandin, Konstantin Riedl, Sara Veneruso

0

citations
Stochastic Gradient Descent for Constrained Optimization Based on Adaptive Relaxed Barrier Functions
2025 IEEE Control Systems Letters article Computer Science Stochastic Gradient Optimization Techniques

Naum Dimitrieski, Jing Cao, Christian Ebenbauer

3

citations
Fast and robust consensus-based optimization via optimal feedback control
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Yuyang Huang, Michaël Herty, Dante Kalise, Nikolas Kantas

0

citations
Fast and Robust Consensus-Based Optimization via Optimal Feedback Control
2026 SIAM Journal on Scientific Computing article Computer Science Metaheuristic Optimization Algorithms Research Open access

Yuyang Huang, Michaël Herty, Dante Kalise, Nikolas Kantas

1

citations
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Patrick Echtenbruck, Martina Echtenbruck, Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich

1

citations
Computation of entanglement for quantum states by a Consensus-Based Optimization method
2026 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Michaël Herty, Yijia Tang, Yizhou Zhou

0

citations
End-To-End Resource Analysis for Quantum Interior-Point Methods and Portfolio Optimization
2023 PRX Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

Alexander M. Dalzell, B. D. Clader, Grant Salton, Mario Berta, Cedric Yen-Yu Lin, David A. Bader, +5 more

18

citations
High-Dimensional Search, Low-Dimensional Solution: Decoupling Optimization from Representation
2025 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Yusuf Kalyoncuoglu, Ratmir Miftachov

0

citations
Synthesizing Invariant Barrier Certificates via Difference-of-Convex Programming
2021 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Qiuye Wang, Mingshuai Chen, Xue Bai, Naijun Zhan, Joost-Pieter Katoen

1

citations
Synthesis of accelerated gradient algorithms for optimization and saddle point problems using Lyapunov functions and LMIs
2022 Systems & Control Letters article Computer Science Optimization and Variational Analysis

Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer

7

citations
Micro-macro decomposition of particle swarm optimization methods
2025 Kinetic and Related Models article Computer Science Metaheuristic Optimization Algorithms Research Open access

Michaël Herty, Sara Veneruso

0

citations
The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems
2022 Preprints.org preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Michael Emmerich, Andre H. Deutz, Víctor Adrián Sosa Hernández, Oliver Schütze

4

citations
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı

1

citations
Encoding inductive invariants as barrier certificates: synthesis via difference-of-convex programming
2022 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Qiuye Wang, Mingshuai Chen, Xue Bai, Naijun Zhan, Joost-Pieter Katoen

0

citations
Synthesizing Invariant Barrier Certificates via Difference-of-Convex Programming
2021 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access

Qiuye Wang, Mingshuai Chen, Xue Bai, Naijun Zhan, Joost-Pieter Katoen

15

citations
Order Optimal Bounds for One-Shot Federated Learning Over Non-Convex Loss Functions
2023 IEEE Transactions on Information Theory article Computer Science Privacy-Preserving Technologies in Data

Arsalan Sharifnassab, Saber Salehkaleybar, S. Jamaloddin Golestani

2

citations
Energy Consumption Minimization for NOMA-Assisted Mobile Edge Computing
2022 International Symposium on Wireless Communication Systems conference-paper Computer Science IoT and Edge/Fog Computing

Hao Xu, Yao Lin Zhu, Kai Xiang, Yulin Hu, Anke Schmeink

0

citations