Saved in:
| Main Authors: | Yao, Weichi, Dumitrascu, Bianca, Goldsmith, Bryan R., Wang, Yixin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.19578 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variational Learning of Disentangled Representations
by: Slavutsky, Yuli, et al.
Published: (2025)
by: Slavutsky, Yuli, et al.
Published: (2025)
Data-Driven Influence Functions for Optimization-Based Causal Inference
by: Jordan, Michael I., et al.
Published: (2022)
by: Jordan, Michael I., et al.
Published: (2022)
ConquerNet: Convolution-Smoothed Quantile ReLU Neural Networks with Minimax Guarantees
by: Luo, Tianpai, et al.
Published: (2026)
by: Luo, Tianpai, et al.
Published: (2026)
Goal-Oriented Lower-Tail Calibration of Gaussian Processes for Bayesian Optimization
by: Pion, Aurélien, et al.
Published: (2026)
by: Pion, Aurélien, et al.
Published: (2026)
A Goal-Oriented Reinforcement Learning-Based Path Planning Algorithm for Modular Self-Reconfigurable Satellites
by: Liu, Bofei, et al.
Published: (2025)
by: Liu, Bofei, et al.
Published: (2025)
Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
by: He, Yufei, et al.
Published: (2025)
by: He, Yufei, et al.
Published: (2025)
Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications
by: Chao, Yu-Chieh, et al.
Published: (2025)
by: Chao, Yu-Chieh, et al.
Published: (2025)
Graph Bayesian Optimization for Multiplex Influence Maximization
by: Yuan, Zirui, et al.
Published: (2024)
by: Yuan, Zirui, et al.
Published: (2024)
Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning
by: Zhang, Zheyu, et al.
Published: (2025)
by: Zhang, Zheyu, et al.
Published: (2025)
Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
by: He, Jinmin, et al.
Published: (2025)
by: He, Jinmin, et al.
Published: (2025)
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
by: Lei, Xing, et al.
Published: (2024)
by: Lei, Xing, et al.
Published: (2024)
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems
by: Wang, Yunli, et al.
Published: (2023)
by: Wang, Yunli, et al.
Published: (2023)
Budgeted Online Influence Maximization
by: Perrault, Pierre, et al.
Published: (2026)
by: Perrault, Pierre, et al.
Published: (2026)
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
by: Fan, Ying, et al.
Published: (2024)
by: Fan, Ying, et al.
Published: (2024)
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning
by: Park, Junseok, et al.
Published: (2024)
by: Park, Junseok, et al.
Published: (2024)
Practical and Parallelizable Algorithms for Non-Monotone Submodular Maximization with Size Constraint
by: Chen, Yixin, et al.
Published: (2020)
by: Chen, Yixin, et al.
Published: (2020)
Direct Acquisition Optimization for Low-Budget Active Learning
by: Zhao, Zhuokai, et al.
Published: (2024)
by: Zhao, Zhuokai, et al.
Published: (2024)
HIAL: A New Paradigm for Hypergraph Active Learning via Influence Maximization
by: Hou, Yanheng, et al.
Published: (2025)
by: Hou, Yanheng, et al.
Published: (2025)
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)
by: Du, Hung, et al.
Published: (2025)
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
by: Sharma, Vibhhu, et al.
Published: (2024)
by: Sharma, Vibhhu, et al.
Published: (2024)
Accumulative SGD Influence Estimation for Data Attribution
by: Shi, Yunxiao, et al.
Published: (2025)
by: Shi, Yunxiao, et al.
Published: (2025)
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
by: Wibisono, Kevin Christian, et al.
Published: (2024)
by: Wibisono, Kevin Christian, et al.
Published: (2024)
Over-the-Air Goal-Oriented Communications
by: Stylianopoulos, Kyriakos, et al.
Published: (2025)
by: Stylianopoulos, Kyriakos, et al.
Published: (2025)
Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems
by: Wu, Bibo, et al.
Published: (2025)
by: Wu, Bibo, et al.
Published: (2025)
Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization
by: Modirshanechi, Alireza, et al.
Published: (2026)
by: Modirshanechi, Alireza, et al.
Published: (2026)
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
by: Fechete, Luca-Andrei, et al.
Published: (2025)
by: Fechete, Luca-Andrei, et al.
Published: (2025)
NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
by: Chen, Yixin, et al.
Published: (2021)
by: Chen, Yixin, et al.
Published: (2021)
GO-GenZip: Goal-Oriented Generative Sampling and Hybrid Compression
by: Talli, Pietro, et al.
Published: (2026)
by: Talli, Pietro, et al.
Published: (2026)
Pragmatic Goal-Oriented Communications under Semantic-Effectiveness Channel Errors
by: Hüttebräucker, Tomás, et al.
Published: (2024)
by: Hüttebräucker, Tomás, et al.
Published: (2024)
Dynamic Relative Representations for Goal-Oriented Semantic Communications
by: Fiorellino, Simone, et al.
Published: (2024)
by: Fiorellino, Simone, et al.
Published: (2024)
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal
by: Di Fiore, Francesco, et al.
Published: (2023)
by: Di Fiore, Francesco, et al.
Published: (2023)
Reinforcement Learning Paycheck Optimization for Multivariate Financial Goals
by: Alaluf, Melda, et al.
Published: (2024)
by: Alaluf, Melda, et al.
Published: (2024)
Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning
by: Wu, Rujie, et al.
Published: (2026)
by: Wu, Rujie, et al.
Published: (2026)
Lifting Biomolecular Data Acquisition
by: Weinstein, Eli N., et al.
Published: (2025)
by: Weinstein, Eli N., et al.
Published: (2025)
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization
by: Zhao, Jiayu, et al.
Published: (2023)
by: Zhao, Jiayu, et al.
Published: (2023)
Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information
by: Sergeev, Fedor, et al.
Published: (2024)
by: Sergeev, Fedor, et al.
Published: (2024)
Standard Acquisition Is Sufficient for Asynchronous Bayesian Optimization
by: Riegler, Ben, et al.
Published: (2026)
by: Riegler, Ben, et al.
Published: (2026)
Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic Programming
by: Lei, Xing, et al.
Published: (2024)
by: Lei, Xing, et al.
Published: (2024)
Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data
by: Zhang, Yuanqiao, et al.
Published: (2026)
by: Zhang, Yuanqiao, et al.
Published: (2026)
Similar Items
-
Variational Learning of Disentangled Representations
by: Slavutsky, Yuli, et al.
Published: (2025) -
Data-Driven Influence Functions for Optimization-Based Causal Inference
by: Jordan, Michael I., et al.
Published: (2022) -
ConquerNet: Convolution-Smoothed Quantile ReLU Neural Networks with Minimax Guarantees
by: Luo, Tianpai, et al.
Published: (2026) -
Goal-Oriented Lower-Tail Calibration of Gaussian Processes for Bayesian Optimization
by: Pion, Aurélien, et al.
Published: (2026) -
A Goal-Oriented Reinforcement Learning-Based Path Planning Algorithm for Modular Self-Reconfigurable Satellites
by: Liu, Bofei, et al.
Published: (2025)