Research paper
$κ$-Explorer: Minimax Active Model Estimation in MDPs
Research paper by Xihe Gu and collaborators. arXiv record dated 2026-10-18. Research area: Machine learning.
Xihe Gu, Urbashi Mitra, Tara Javidi
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A Cognitive Trust-Aware Framework for Minimax Optimization of Personalized Learning Paths in Higher Education
Research paper by Manoj Podiyan and collaborators, published 2026 in Minimax Theory and its Applications. Research area: Intelligent Tutoring Systems and Adaptive Learning.
Manoj Podiyan, Dr Prashant Sharma
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Research paper
A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems
Research paper by Junlin Wang and collaborators. arXiv record dated 2025-09-08. Research area: Machine learning.
Junlin Wang, Zi Xu, Huiling Zhang
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Research paper
A Minimax-Based Context-Aware Sensor-Cloud Architecture with Integrated Machine Learning Analytics and Dynamic Model Orchestration
Research paper by M. Jayalakshmi and collaborators, published 2026 in Minimax Theory and its Applications. Research area: Anomaly Detection Techniques and Applications.
M. Jayalakshmi, Ts. Dr. Tadiwa Elisha Nyamasvisva, Abudhahir Buhari, K. Maharajan
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Research paper
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems
Research paper by Xin Chen and collaborators. arXiv record dated 2025-05-02. Research area: Machine learning.
Xin Chen, Yuze Chen, Yuan Zhou
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Research paper
A Novel Minimax Regularization Framework for Enhancing Neural Network Robustness
Research paper by Jincheng Zhang, published 2025 in Jurnal Teknik Informatika dan Sistem Informasi. Research area: Adversarial Robustness in Machine Learning.
Jincheng Zhang
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Research paper
A novel non-convex minimax $p$-th order concave penalty function approach to low-rank tensor completion
Research paper by Hongbing Zhang and collaborators. arXiv record dated 2025-06-06. Research area: Computer vision.
Hongbing Zhang, Bing Zheng
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Research paper
A Riemannian Alternating Descent Ascent Algorithmic Framework for Nonconvex-Linear Minimax Problems on Riemannian Manifolds
Research paper by Meng Xu and collaborators, published 2026 in Mathematics of Operations Research. Research area: Stochastic Gradient Optimization Techniques.
Meng Xu, Bo Jiang, Ya‐Feng Liu, Anthony Man–Cho So
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Research paper
A statistical theory for blind denoising: minimax estimation of the noise level from a single sample
Research paper by Zhuoer Shen. arXiv record dated 2026-09-26. Research area: Machine learning.
Zhuoer Shen
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Research paper
A Stochastic Implicit Proximal Point Algorithm for Solving Linearly Constrained Stochastic Minimax Problems
Research paper by Kehan Zhu and collaborators, published 2026 in arXiv (Cornell University). Research area: Stochastic Gradient Optimization Techniques.
Kehan Zhu, Jiani Wang, Yu-Hong Dai
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Research paper
A variance reduced framework for (non)smooth nonconvex-nonconcave stochastic minimax problems with extended Kurdyka-Lojasiewicz property
Research paper by Dr Muhammad Asif Khan and collaborators, published 2026 in arXiv (Cornell University). Research area: Stochastic Gradient Optimization Techniques.
Dr Muhammad Asif Khan, Yangyang Xu
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Research paper
Adaptive Single-Loop Methods for Stochastic Minimax Optimization on Riemannian Manifolds
Research paper by Hongye Wang and collaborators, published 2026 in arXiv (Cornell University). Research area: Stochastic Gradient Optimization Techniques.
Hongye Wang, He Chang, Bo Jiang
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