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Papers matching “robust optimization” 52

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Completeness in the Polynomial Hierarchy for many natural Problems in Bilevel and Robust Optimization
2023 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Christoph Grüne, Lasse Wulf

0

citations
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan

0

citations
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan

0

citations
On the Complexity of Recoverable Robust Optimization in the Polynomial Hierarchy
2024 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Christoph Grüne, Lasse Wulf

0

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
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
2026 Research Square preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Wei Liu, Yizhi Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan

0

citations
The Complexity Classes of Hamming Distance Recoverable Robust Problems
2022 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Christoph Grüne

1

citations
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Atilla Eryılmaz

2

citations
Robust Minimum Cost Flow Problem Under Consistent Flow Constraints
2020 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Christina Büsing, Arie M. C. A. Koster, Sabrina Schmitz

0

citations
Versatile Black-Box Optimization
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Jialin Liu, Antoine Moreau, Mike Preuß, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, +1 more

2

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
Understanding and Improving Optimization in Predictive Coding Networks
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Nick Alonso, Jeffrey L. Krichmar, Emre Neftci

0

citations
Robust Shielding for Safe Reinforcement Learning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Edwin Hamel-De le Court, Thom Badings, Alessandro Abate, Francesco Belardinelli, Francesco Fabiano

0

citations
Efficiently Escaping Saddle Points for Policy Optimization
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser

0

citations
Robust, credible, and interpretable AI-based histopathological prostate cancer grading
2024 medRxiv preprint Computer Science AI in cancer detection Open access

Fabian Westhaeusser, Patrick Fuhlert, Esther Dietrich, Maximilian Lennartz, Robin Khatri, Nico Kaiser, +20 more

1

citations
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
2024 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Robert-Jeron Reifert, Hayssam Dahrouj, Alaa Alameer Ahmad, Haris Gacanin, Aydin Sezgin

0

citations
Learning Robust Sequential Recommenders through Confident Soft Labels
2023 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, +1 more

0

citations
Fast and robust Bayesian Inference using Gaussian Processes with GPry
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

1

citations
Beyond Benchmarks: Towards Robust Artificial Intelligence Bone Segmentation in Socio-Technical Systems
2025 medRxiv preprint Computer Science Medical Image Segmentation Techniques Open access

Kunpeng Xie, Lennart Johannes Gruber, Martin Crampen, Yao Li, André Filipe Ferreira, Elias Tappeiner, +44 more

0

citations
An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Bubacarr Bah, Jannis Kurtz

8

citations
Fundamental Limitations of QAOA on Constrained Problems and a Route to Exponential Enhancement
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Chinonso Onah, Kristel F. L. Michielsen

0

citations
From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
2026 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Qi Huang, Furong Ye, Ananta Shahane, Thomas Bäck, Bas van Stein

0

citations
Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems
2025 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Dikshit Chauhan, Bapi Dutta, Indu Bala, Bas van Stein, Thomas Bäck

0

citations
Multi-Objective Population Based Training
2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman

1

citations
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Kirill Antonov, Marijn E. Siemons, Bas van Stein, Thomas Bäck, Ralf Kohlhaas, Anna V. Kononova

1

citations