Multi-Objective Bilevel Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Zhiyao, Liu, Zhuqing, Zhang, Xin, Chen, Wen-Yen, Yang, Jiyan, Liu, Jia |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
por: Zhang, Zhiyao, et al.
Publicado: (2026)
por: Zhang, Zhiyao, et al.
Publicado: (2026)
Federated Multi-Objective Learning
por: Yang, Haibo, et al.
Publicado: (2023)
por: Yang, Haibo, et al.
Publicado: (2023)
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
por: Liu, Zhuqing, et al.
Publicado: (2025)
por: Liu, Zhuqing, et al.
Publicado: (2025)
Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing
por: Fang, Minghong, et al.
Publicado: (2025)
por: Fang, Minghong, et al.
Publicado: (2025)
Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach
por: Hairi, Fnu, et al.
Publicado: (2025)
por: Hairi, Fnu, et al.
Publicado: (2025)
CubicML: Automated ML for Large ML Systems Co-design with ML Prediction of Performance
por: Wen, Wei, et al.
Publicado: (2024)
por: Wen, Wei, et al.
Publicado: (2024)
Adversarial Attacks to Multi-Modal Models
por: Dou, Zhihao, et al.
Publicado: (2024)
por: Dou, Zhihao, et al.
Publicado: (2024)
Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization
por: Oh, Myeung Suk, et al.
Publicado: (2025)
por: Oh, Myeung Suk, et al.
Publicado: (2025)
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
por: Zhou, Tianchen, et al.
Publicado: (2024)
por: Zhou, Tianchen, et al.
Publicado: (2024)
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
por: Zhang, Zhiyao, et al.
Publicado: (2025)
por: Zhang, Zhiyao, et al.
Publicado: (2025)
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
por: Xu, Mingjing, et al.
Publicado: (2024)
por: Xu, Mingjing, et al.
Publicado: (2024)
Preference-based Multi-Objective Reinforcement Learning
por: Mu, Ni, et al.
Publicado: (2025)
por: Mu, Ni, et al.
Publicado: (2025)
Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting
por: Lu, Yining, et al.
Publicado: (2025)
por: Lu, Yining, et al.
Publicado: (2025)
Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
por: Bai, Yang, et al.
Publicado: (2026)
por: Bai, Yang, et al.
Publicado: (2026)
Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment
por: Hou, Xiaoyang, et al.
Publicado: (2026)
por: Hou, Xiaoyang, et al.
Publicado: (2026)
Fully First-Order Algorithms for Online Bilevel Optimization
por: Jia, Tingkai, et al.
Publicado: (2026)
por: Jia, Tingkai, et al.
Publicado: (2026)
Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning
por: Liu, Meitong, et al.
Publicado: (2024)
por: Liu, Meitong, et al.
Publicado: (2024)
Pareto Set Learning for Multi-Objective Reinforcement Learning
por: Liu, Erlong, et al.
Publicado: (2025)
por: Liu, Erlong, et al.
Publicado: (2025)
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
por: Chen, Weiyu, et al.
Publicado: (2025)
por: Chen, Weiyu, et al.
Publicado: (2025)
A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning
por: Chen, Ying-Tu, et al.
Publicado: (2026)
por: Chen, Ying-Tu, et al.
Publicado: (2026)
Stochastic Bilevel Optimization with Heavy-Tailed Noise
por: Liu, Zhuanghua, et al.
Publicado: (2025)
por: Liu, Zhuanghua, et al.
Publicado: (2025)
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
por: Shen, Han, et al.
Publicado: (2024)
por: Shen, Han, et al.
Publicado: (2024)
BEAVER: Building Environments with Assessable Variation for Evaluating Multi-Objective Reinforcement Learning
por: Liu, Ruohong, et al.
Publicado: (2025)
por: Liu, Ruohong, et al.
Publicado: (2025)
Multi-Objective Adaptive Rate Limiting in Microservices Using Deep Reinforcement Learning
por: Lyu, Ning, et al.
Publicado: (2025)
por: Lyu, Ning, et al.
Publicado: (2025)
On the Condition Number Dependency in Bilevel Optimization
por: Chen, Lesi, et al.
Publicado: (2025)
por: Chen, Lesi, et al.
Publicado: (2025)
Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning
por: Qiu, Shuang, et al.
Publicado: (2024)
por: Qiu, Shuang, et al.
Publicado: (2024)
Multi-Objective Coverage via Constraint Active Search
por: Siam, Zakaria Shams, et al.
Publicado: (2026)
por: Siam, Zakaria Shams, et al.
Publicado: (2026)
Learning Theory for Kernel Bilevel Optimization
por: Khoury, Fares El, et al.
Publicado: (2025)
por: Khoury, Fares El, et al.
Publicado: (2025)
Functional Bilevel Optimization for Machine Learning
por: Petrulionyte, Ieva, et al.
Publicado: (2024)
por: Petrulionyte, Ieva, et al.
Publicado: (2024)
qNBO: quasi-Newton Meets Bilevel Optimization
por: Fang, Sheng, et al.
Publicado: (2025)
por: Fang, Sheng, et al.
Publicado: (2025)
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
por: Zheng, Zhi, et al.
Publicado: (2024)
por: Zheng, Zhi, et al.
Publicado: (2024)
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems
por: Zhang, Huaqing, et al.
Publicado: (2024)
por: Zhang, Huaqing, et al.
Publicado: (2024)
Fairness-Constrained Optimization Attack in Federated Learning
por: Kasyap, Harsh, et al.
Publicado: (2025)
por: Kasyap, Harsh, et al.
Publicado: (2025)
Synergistic Localization and Sensing in MIMO-OFDM Systems via Mixed-Integer Bilevel Learning
por: Zhu, Zelin, et al.
Publicado: (2025)
por: Zhu, Zelin, et al.
Publicado: (2025)
FBOS-RL: Feedback-Driven Bi-Objective Synergistic Reinforcement Learning
por: Zhang, Xikai, et al.
Publicado: (2026)
por: Zhang, Xikai, et al.
Publicado: (2026)
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
por: Lin, Xi, et al.
Publicado: (2024)
por: Lin, Xi, et al.
Publicado: (2024)
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
por: Zhang, Baolei, et al.
Publicado: (2025)
por: Zhang, Baolei, et al.
Publicado: (2025)
Sampling Imbalanced Data with Multi-objective Bilevel Optimization
por: Medlin, Karen, et al.
Publicado: (2025)
por: Medlin, Karen, et al.
Publicado: (2025)
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
por: Dong, Youran, et al.
Publicado: (2025)
por: Dong, Youran, et al.
Publicado: (2025)
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
por: Aviles-Rivero, Angelica I., et al.
Publicado: (2024)
por: Aviles-Rivero, Angelica I., et al.
Publicado: (2024)
Ejemplares similares
-
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
por: Zhang, Zhiyao, et al.
Publicado: (2026) -
Federated Multi-Objective Learning
por: Yang, Haibo, et al.
Publicado: (2023) -
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
por: Liu, Zhuqing, et al.
Publicado: (2025) -
Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing
por: Fang, Minghong, et al.
Publicado: (2025) -
Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach
por: Hairi, Fnu, et al.
Publicado: (2025)