Multi-Objective Coverage via Constraint Active Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Siam, Zakaria Shams, Liu, Xuefeng, Liu, Chong
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum Non-Linear Bandit Optimization
by: Siam, Zakaria Shams, et al.
Published: (2025)

Multi-Objective Bayesian Optimization via Adaptive \varepsilon-Constraints Decomposition
by: Yang, Yaohong, et al.
Published: (2026)

Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
by: Zhang, Yan, et al.
Published: (2026)

Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Exploration
by: Mhammedi, Zakaria, et al.
Published: (2026)

Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
by: Li, Diantong, et al.
Published: (2024)

Uniformly Safe RL with Objective Suppression for Multi-Constraint Safety-Critical Applications
by: Zhou, Zihan, et al.
Published: (2024)

MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
by: Ngo, Lam, et al.
Published: (2025)

Multi-Objective Bilevel Learning
by: Zhang, Zhiyao, et al.
Published: (2025)

Generalized Hierarchical Bayesian Segmentation with Irregular Designs, Multi-Sequence Hierarchies, and Grouped/Latent-Group Designs
by: Solari, Omid Shams
Published: (2026)

Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search
by: Vo, An, et al.
Published: (2024)

Multi-Objective Neural Architecture Search by Learning Search Space Partitions
by: Zhao, Yiyang, et al.
Published: (2024)

Contextual Active Model Selection
by: Liu, Xuefeng, et al.
Published: (2022)

ACT: Automated Constraint Targeting for Multi-Objective Recommender Systems
by: Chang, Daryl, et al.
Published: (2025)

Multi-Objective Neural Architecture Search for In-Memory Computing
by: Amin, Md Hasibul, et al.
Published: (2024)

Optimal Policy Learning under Budget and Coverage Constraints
by: Cerulli, Giovanni
Published: (2026)

Active Learning and Explainable AI for Multi-Objective Optimization of Spin Coated Polymers
by: Young, Brendan, et al.
Published: (2025)

In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning
by: Terekhov, Mikhail, et al.
Published: (2024)

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design
by: Kshirsagar, Meghana, et al.
Published: (2026)

Generative Sequential Notification Optimization via Multi-Objective Decision Transformers
by: Ocejo, Borja, et al.
Published: (2025)

Generalized Coverage for More Robust Low-Budget Active Learning
by: Bae, Wonho, et al.
Published: (2024)

Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
by: Kim, Hwanwoo, et al.
Published: (2025)

Active Learning For Repairable Hardware Systems With Partial Coverage
by: Potter, Michael, et al.
Published: (2025)

Multi-Objective Constraint Inference using Inverse reinforcement learning
by: Shah, Syed Ihtesham Hussain, et al.
Published: (2026)

MOSS: Multi-Objective Optimization for Stable Rule Sets
by: Liu, Brian, et al.
Published: (2025)

On-device Large Multi-modal Agent for Human Activity Recognition
by: Siam, Md Shakhrul Iman, et al.
Published: (2025)

Joint Surrogate Learning of Objectives, Constraints, and Sensitivities for Efficient Multi-objective Optimization of Neural Dynamical Systems
by: Gressmann, Frithjof, et al.
Published: (2026)

Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach
by: Hairi, Fnu, et al.
Published: (2025)

Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation
by: Zhong, Yisheng, et al.
Published: (2026)

Active Policy Improvement from Multiple Black-box Oracles
by: Liu, Xuefeng, et al.
Published: (2023)

Federated Multi-Objective Learning
by: Yang, Haibo, et al.
Published: (2023)

Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
by: Booysen, Reinhard, et al.
Published: (2024)

Pareto Set Learning for Multi-Objective Reinforcement Learning
by: Liu, Erlong, et al.
Published: (2025)

Reinforcement Learning with $ω$-Regular Objectives and Constraints
by: Wagner, Dominik, et al.
Published: (2025)

MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search
by: Cheng, Peng, et al.
Published: (2024)

Active Advantage-Aligned Online Reinforcement Learning with Offline Data
by: Liu, Xuefeng, et al.
Published: (2025)

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
by: Zou, Xin, et al.
Published: (2024)

A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
by: Wei, Zhao, et al.
Published: (2025)

ST-BCP: Tightening Coverage Bound for Backward Conformal Prediction via Non-Conformity Score Transformation
by: Liu, Junxian, et al.
Published: (2026)

CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation
by: Southiratn, Thibaud, et al.
Published: (2026)

Multi-Objective Hardware Aware Neural Architecture Search using Hardware Cost Diversity
by: Sinha, Nilotpal, et al.
Published: (2024)