Adaptive Data Augmentation for Thompson Sampling
Fuente:
arXiv
Guardado en:
| Autor principal: | Kim, Wonyoung |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning the Pareto Front Using Bootstrapped Observation Samples
por: Kim, Wonyoung, et al.
Publicado: (2023)
por: Kim, Wonyoung, et al.
Publicado: (2023)
Variance-Adaptive Optimal Algorithm for Reinforcement Learning with Multinomial Logit Function Approximation
por: Kim, Wonyoung, et al.
Publicado: (2026)
por: Kim, Wonyoung, et al.
Publicado: (2026)
Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling
por: Sandberg, Jack, et al.
Publicado: (2025)
por: Sandberg, Jack, et al.
Publicado: (2025)
Thompson Sampling for Repeated Newsvendor
por: Chen, Li, et al.
Publicado: (2025)
por: Chen, Li, et al.
Publicado: (2025)
Constrained Linear Thompson Sampling
por: Gangrade, Aditya, et al.
Publicado: (2025)
por: Gangrade, Aditya, et al.
Publicado: (2025)
Optimism Stabilizes Thompson Sampling for Adaptive Inference
por: Yan, Shunxing, et al.
Publicado: (2026)
por: Yan, Shunxing, et al.
Publicado: (2026)
Contextual Thompson Sampling via Generation of Missing Data
por: Zhang, Kelly W., et al.
Publicado: (2025)
por: Zhang, Kelly W., et al.
Publicado: (2025)
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning
por: Namkoong, Hongseok, et al.
Publicado: (2020)
por: Namkoong, Hongseok, et al.
Publicado: (2020)
Regenerative Particle Thompson Sampling
por: Zhou, Zeyu, et al.
Publicado: (2022)
por: Zhou, Zeyu, et al.
Publicado: (2022)
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
por: Brooks, Marc, et al.
Publicado: (2025)
por: Brooks, Marc, et al.
Publicado: (2025)
A Broader View of Thompson Sampling
por: Qu, Yanlin, et al.
Publicado: (2025)
por: Qu, Yanlin, et al.
Publicado: (2025)
Graph Neural Thompson Sampling
por: Wu, Shuang, et al.
Publicado: (2024)
por: Wu, Shuang, et al.
Publicado: (2024)
Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret
por: Kim, Yeoneung, et al.
Publicado: (2024)
por: Kim, Yeoneung, et al.
Publicado: (2024)
Fast, Precise Thompson Sampling for Bayesian Optimization
por: Sweet, David
Publicado: (2024)
por: Sweet, David
Publicado: (2024)
Thompson Sampling in Partially Observable Contextual Bandits
por: Park, Hongju, et al.
Publicado: (2024)
por: Park, Hongju, et al.
Publicado: (2024)
Online Learning of Decision Trees with Thompson Sampling
por: Chaouki, Ayman, et al.
Publicado: (2024)
por: Chaouki, Ayman, et al.
Publicado: (2024)
On Regret Bounds of Thompson Sampling for Bayesian Optimization
por: Takeno, Shion, et al.
Publicado: (2026)
por: Takeno, Shion, et al.
Publicado: (2026)
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
por: Zhang, Raymond, et al.
Publicado: (2024)
por: Zhang, Raymond, et al.
Publicado: (2024)
Thompson Sampling for Multi-Objective Linear Contextual Bandit
por: Park, Somangchan, et al.
Publicado: (2025)
por: Park, Somangchan, et al.
Publicado: (2025)
On Thompson Sampling and Bilateral Uncertainty in Additive Bayesian Optimization
por: Wycoff, Nathan
Publicado: (2025)
por: Wycoff, Nathan
Publicado: (2025)
Thompson Sampling in Online RLHF with General Function Approximation
por: Feng, Songtao, et al.
Publicado: (2025)
por: Feng, Songtao, et al.
Publicado: (2025)
Thompson Sampling-like Algorithms for Stochastic Rising Bandits
por: Fiandri, Marco, et al.
Publicado: (2025)
por: Fiandri, Marco, et al.
Publicado: (2025)
Stochastically Constrained Best Arm Identification with Thompson Sampling
por: Yang, Le, et al.
Publicado: (2025)
por: Yang, Le, et al.
Publicado: (2025)
Thompson Sampling in Function Spaces via Neural Operators
por: Oliveira, Rafael, et al.
Publicado: (2025)
por: Oliveira, Rafael, et al.
Publicado: (2025)
An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits
por: Gouverneur, Amaury, et al.
Publicado: (2024)
por: Gouverneur, Amaury, et al.
Publicado: (2024)
Sliding-Window Thompson Sampling for Non-Stationary Settings
por: Fiandri, Marco, et al.
Publicado: (2024)
por: Fiandri, Marco, et al.
Publicado: (2024)
VITS : Variational Inference Thompson Sampling for contextual bandits
por: Clavier, Pierre, et al.
Publicado: (2023)
por: Clavier, Pierre, et al.
Publicado: (2023)
MINTS: Minimalist Thompson Sampling
por: Wang, Kaizheng
Publicado: (2026)
por: Wang, Kaizheng
Publicado: (2026)
Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift
por: Li, Bochao, et al.
Publicado: (2026)
por: Li, Bochao, et al.
Publicado: (2026)
Counterfactual Inference under Thompson Sampling
por: Jeunen, Olivier
Publicado: (2025)
por: Jeunen, Olivier
Publicado: (2025)
Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
por: Fan, Donney, et al.
Publicado: (2026)
por: Fan, Donney, et al.
Publicado: (2026)
Thompson Sampling Itself is Differentially Private
por: Ou, Tingting, et al.
Publicado: (2024)
por: Ou, Tingting, et al.
Publicado: (2024)
Thompson Sampling via Fine-Tuning of LLMs
por: Menet, Nicolas, et al.
Publicado: (2025)
por: Menet, Nicolas, et al.
Publicado: (2025)
Gaussian Process Thompson Sampling via Rootfinding
por: Adebiyi, Taiwo A., et al.
Publicado: (2024)
por: Adebiyi, Taiwo A., et al.
Publicado: (2024)
Epsilon-Greedy Thompson Sampling to Bayesian Optimization
por: Do, Bach, et al.
Publicado: (2024)
por: Do, Bach, et al.
Publicado: (2024)
Thompson Sampling-Based Learning and Control for Unknown Dynamic Systems
por: Zheng, Kaikai, et al.
Publicado: (2025)
por: Zheng, Kaikai, et al.
Publicado: (2025)
Stable Thompson Sampling: Valid Inference via Variance Inflation
por: Halder, Budhaditya, et al.
Publicado: (2025)
por: Halder, Budhaditya, et al.
Publicado: (2025)
An Information-Theoretic Analysis of Thompson Sampling with Infinite Action Spaces
por: Gouverneur, Amaury, et al.
Publicado: (2025)
por: Gouverneur, Amaury, et al.
Publicado: (2025)
Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks
por: Xu, Yinglun, et al.
Publicado: (2024)
por: Xu, Yinglun, et al.
Publicado: (2024)
BFTS: Thompson Sampling with Bayesian Additive Regression Trees
por: Deng, Ruizhe, et al.
Publicado: (2026)
por: Deng, Ruizhe, et al.
Publicado: (2026)
Ejemplares similares
-
Learning the Pareto Front Using Bootstrapped Observation Samples
por: Kim, Wonyoung, et al.
Publicado: (2023) -
Variance-Adaptive Optimal Algorithm for Reinforcement Learning with Multinomial Logit Function Approximation
por: Kim, Wonyoung, et al.
Publicado: (2026) -
Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling
por: Sandberg, Jack, et al.
Publicado: (2025) -
Thompson Sampling for Repeated Newsvendor
por: Chen, Li, et al.
Publicado: (2025) -
Constrained Linear Thompson Sampling
por: Gangrade, Aditya, et al.
Publicado: (2025)