BandiK: Efficient Multi-Task Decomposition Using a Multi-Bandit Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Millinghoffer, András, Formanek, András, Antos, András, Antal, Péter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semi-overlapping Multi-bandit Best Arm Identification for Sequential Support Network Learning
by: Antos, András, et al.
Published: (2025)
by: Antos, András, et al.
Published: (2025)
Variational Search Distributions
by: Steinberg, Daniel M., et al.
Published: (2024)
by: Steinberg, Daniel M., et al.
Published: (2024)
Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting
by: Lettner, Jan Niklas, et al.
Published: (2026)
by: Lettner, Jan Niklas, et al.
Published: (2026)
Application of Sensitivity Analysis Methods for Studying Neural Network Models
by: Miao, Jiaxuan, et al.
Published: (2025)
by: Miao, Jiaxuan, et al.
Published: (2025)
Graph Coloring for Multi-Task Learning
by: Patapati, Santosh
Published: (2025)
by: Patapati, Santosh
Published: (2025)
When Reasoning Fails: Evaluating 'Thinking' LLMs for Stock Prediction
by: Sodha, Rakeshkumar H
Published: (2025)
by: Sodha, Rakeshkumar H
Published: (2025)
Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization
by: Liao, Junyi, et al.
Published: (2026)
by: Liao, Junyi, et al.
Published: (2026)
CART-ELC: Oblique Decision Tree Induction via Exhaustive Search
by: Laack, Andrew D.
Published: (2025)
by: Laack, Andrew D.
Published: (2025)
4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
by: Zeytuncu, Yunus E.
Published: (2026)
by: Zeytuncu, Yunus E.
Published: (2026)
Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)
by: Cilan, Atahan, et al.
Published: (2026)
An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify
by: Verma, Shivam, et al.
Published: (2025)
by: Verma, Shivam, et al.
Published: (2025)
Learning Controllable and Diverse Player Behaviors in Multi-Agent Environments
by: Cilan, Atahan, et al.
Published: (2025)
by: Cilan, Atahan, et al.
Published: (2025)
Distributional Reinforcement Learning for Condition-Based Maintenance of Multi-Pump Equipment
by: Yasuno, Takato
Published: (2026)
by: Yasuno, Takato
Published: (2026)
Accelerated Multi-objective Task Learning using Modified Q-learning Algorithm
by: Rajamohan, Varun Prakash, et al.
Published: (2024)
by: Rajamohan, Varun Prakash, et al.
Published: (2024)
Multi-modal Integration Analysis of Alzheimer's Disease Using Large Language Models and Knowledge Graphs
by: Kiguchi, Kanan, et al.
Published: (2025)
by: Kiguchi, Kanan, et al.
Published: (2025)
Kolmogorov Arnold Networks and Multi-Layer Perceptrons: A Paradigm Shift in Neural Modelling
by: Gaonkar, Aradhya, et al.
Published: (2026)
by: Gaonkar, Aradhya, et al.
Published: (2026)
Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
by: Lasko, Thomas A., et al.
Published: (2024)
by: Lasko, Thomas A., et al.
Published: (2024)
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding
by: Chen, Jiameng, et al.
Published: (2025)
by: Chen, Jiameng, et al.
Published: (2025)
From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation
by: Fang, Junyi, et al.
Published: (2025)
by: Fang, Junyi, et al.
Published: (2025)
Hierarchical Pooling and Explainability in Graph Neural Networks for Tumor and Tissue-of-Origin Classification Using RNA-seq Data
by: Fontanari, Thomas Vaitses, et al.
Published: (2026)
by: Fontanari, Thomas Vaitses, et al.
Published: (2026)
TelePlanNet: An AI-Driven Framework for Efficient Telecom Network Planning
by: Deng, Zongyuan, et al.
Published: (2025)
by: Deng, Zongyuan, et al.
Published: (2025)
Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models
by: Tan, Chee Wei, et al.
Published: (2026)
by: Tan, Chee Wei, et al.
Published: (2026)
Pseudoconvex Problems in Operational Decision Systems: Algorithms for Joint Learning and Optimization
by: Li, Zijun, et al.
Published: (2026)
by: Li, Zijun, et al.
Published: (2026)
Spherical dimension
by: Chornomaz, Bogdan, et al.
Published: (2025)
by: Chornomaz, Bogdan, et al.
Published: (2025)
Dual VC Dimension Obstructs Sample Compression by Embeddings
by: Chase, Zachary, et al.
Published: (2024)
by: Chase, Zachary, et al.
Published: (2024)
Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models
by: Hiremath, Prakul Sunil
Published: (2026)
by: Hiremath, Prakul Sunil
Published: (2026)
Unified Unbiased Variance Estimation for Maximum Mean Discrepancy: Robust Finite-Sample Performance with Imbalanced Data and Exact Acceleration under Null and Alternative Hypotheses
by: Zhong, Shijie, et al.
Published: (2026)
by: Zhong, Shijie, et al.
Published: (2026)
RTD-Conjecture and Concept Classes Induced by Graphs
by: Simon, Hans U.
Published: (2025)
by: Simon, Hans U.
Published: (2025)
Tensor-based Model Reduction and Identification for Generalized Memory Polynomial
by: Wang, Yuchao, et al.
Published: (2025)
by: Wang, Yuchao, et al.
Published: (2025)
Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization
by: Fan, Hongkai, et al.
Published: (2026)
by: Fan, Hongkai, et al.
Published: (2026)
Neural Prime Sieves: Density-Driven Generalization and Empirical Evidence for Hardy-Littlewood Asymptotics
by: Kakkar, Manik
Published: (2026)
by: Kakkar, Manik
Published: (2026)
Provable Adversarial Robustness in In-Context Learning
by: Zhang, Di
Published: (2026)
by: Zhang, Di
Published: (2026)
Graph Neural Networks are Heuristics
by: Min, Yimeng, et al.
Published: (2026)
by: Min, Yimeng, et al.
Published: (2026)
Digging deeper: deep joint species distribution modeling reveals environmental drivers of Earthworm Communities
by: Si-moussi, Sara, et al.
Published: (2025)
by: Si-moussi, Sara, et al.
Published: (2025)
Gradient Flow Structure and Quantitative Dynamics of Multi-Head Self-Attention
by: Pendharkar, Ayan
Published: (2026)
by: Pendharkar, Ayan
Published: (2026)
Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures
by: Ghosh, Sucheta, et al.
Published: (2026)
by: Ghosh, Sucheta, et al.
Published: (2026)
Shrinkage Initialization for Smooth Learning of Neural Networks
by: Cheng, Miao, et al.
Published: (2025)
by: Cheng, Miao, et al.
Published: (2025)
Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record
by: Betts, Joshua W., et al.
Published: (2025)
by: Betts, Joshua W., et al.
Published: (2025)
A Survey on Data-Dependent Worst-Case Generalization Bounds
by: Leroux, Hubert, et al.
Published: (2026)
by: Leroux, Hubert, et al.
Published: (2026)
Amortized Molecular Optimization via Group Relative Policy Optimization
by: Javaid, Muhammad bin, et al.
Published: (2026)
by: Javaid, Muhammad bin, et al.
Published: (2026)
Similar Items
-
Semi-overlapping Multi-bandit Best Arm Identification for Sequential Support Network Learning
by: Antos, András, et al.
Published: (2025) -
Variational Search Distributions
by: Steinberg, Daniel M., et al.
Published: (2024) -
Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting
by: Lettner, Jan Niklas, et al.
Published: (2026) -
Application of Sensitivity Analysis Methods for Studying Neural Network Models
by: Miao, Jiaxuan, et al.
Published: (2025) -
Graph Coloring for Multi-Task Learning
by: Patapati, Santosh
Published: (2025)