Thompson Sampling in Function Spaces via Neural Operators
Fuente:
arXiv
Saved in:
| Main Authors: | Oliveira, Rafael, Wang, Xuesong, Chai, Kian Ming A., Bonilla, Edwin V. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variational Learning of Fractional Posteriors
by: Chai, Kian Ming A., et al.
Published: (2026)
by: Chai, Kian Ming A., et al.
Published: (2026)
Rényi Neural Processes
by: Wang, Xuesong, et al.
Published: (2024)
by: Wang, Xuesong, et al.
Published: (2024)
Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems
by: Wang, Xuesong, et al.
Published: (2026)
by: Wang, Xuesong, et al.
Published: (2026)
Generative Bayesian Optimization: Generative Models as Acquisition Functions
by: Oliveira, Rafael, et al.
Published: (2025)
by: Oliveira, Rafael, et al.
Published: (2025)
Graph Neural Thompson Sampling
by: Wu, Shuang, et al.
Published: (2024)
by: Wu, Shuang, et al.
Published: (2024)
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning
by: Namkoong, Hongseok, et al.
Published: (2020)
by: Namkoong, Hongseok, et al.
Published: (2020)
Thompson Sampling in Online RLHF with General Function Approximation
by: Feng, Songtao, et al.
Published: (2025)
by: Feng, Songtao, et al.
Published: (2025)
Bayesian Adaptive Calibration and Optimal Design
by: Oliveira, Rafael, et al.
Published: (2024)
by: Oliveira, Rafael, et al.
Published: (2024)
An Information-Theoretic Analysis of Thompson Sampling with Infinite Action Spaces
by: Gouverneur, Amaury, et al.
Published: (2025)
by: Gouverneur, Amaury, et al.
Published: (2025)
Gaussian Process Thompson Sampling via Rootfinding
by: Adebiyi, Taiwo A., et al.
Published: (2024)
by: Adebiyi, Taiwo A., et al.
Published: (2024)
Thompson Sampling for Repeated Newsvendor
by: Chen, Li, et al.
Published: (2025)
by: Chen, Li, et al.
Published: (2025)
Constrained Linear Thompson Sampling
by: Gangrade, Aditya, et al.
Published: (2025)
by: Gangrade, Aditya, et al.
Published: (2025)
Split Conformal Prediction in the Function Space with Neural Operators
by: Millard, David, et al.
Published: (2025)
by: Millard, David, et al.
Published: (2025)
Thompson Sampling via Fine-Tuning of LLMs
by: Menet, Nicolas, et al.
Published: (2025)
by: Menet, Nicolas, et al.
Published: (2025)
Stable Thompson Sampling: Valid Inference via Variance Inflation
by: Halder, Budhaditya, et al.
Published: (2025)
by: Halder, Budhaditya, et al.
Published: (2025)
MINTS: Minimalist Thompson Sampling
by: Wang, Kaizheng
Published: (2026)
by: Wang, Kaizheng
Published: (2026)
Regenerative Particle Thompson Sampling
by: Zhou, Zeyu, et al.
Published: (2022)
by: Zhou, Zeyu, et al.
Published: (2022)
Adaptive Data Augmentation for Thompson Sampling
by: Kim, Wonyoung
Published: (2025)
by: Kim, Wonyoung
Published: (2025)
A Broader View of Thompson Sampling
by: Qu, Yanlin, et al.
Published: (2025)
by: Qu, Yanlin, et al.
Published: (2025)
Contextual Thompson Sampling via Generation of Missing Data
by: Zhang, Kelly W., et al.
Published: (2025)
by: Zhang, Kelly W., et al.
Published: (2025)
Stochastically Constrained Best Arm Identification with Thompson Sampling
by: Yang, Le, et al.
Published: (2025)
by: Yang, Le, et al.
Published: (2025)
Neural Operator: Learning Maps Between Function Spaces
by: Kovachki, Nikola, et al.
Published: (2021)
by: Kovachki, Nikola, et al.
Published: (2021)
Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks
by: Xu, Yinglun, et al.
Published: (2024)
by: Xu, Yinglun, et al.
Published: (2024)
Fast, Precise Thompson Sampling for Bayesian Optimization
by: Sweet, David
Published: (2024)
by: Sweet, David
Published: (2024)
Thompson Sampling in Partially Observable Contextual Bandits
by: Park, Hongju, et al.
Published: (2024)
by: Park, Hongju, et al.
Published: (2024)
Online Learning of Decision Trees with Thompson Sampling
by: Chaouki, Ayman, et al.
Published: (2024)
by: Chaouki, Ayman, et al.
Published: (2024)
On Regret Bounds of Thompson Sampling for Bayesian Optimization
by: Takeno, Shion, et al.
Published: (2026)
by: Takeno, Shion, et al.
Published: (2026)
Thompson Sampling-Based Learning and Control for Unknown Dynamic Systems
by: Zheng, Kaikai, et al.
Published: (2025)
by: Zheng, Kaikai, et al.
Published: (2025)
ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment
by: Hsu, Hao-Lun, et al.
Published: (2024)
by: Hsu, Hao-Lun, et al.
Published: (2024)
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
by: Zhang, Raymond, et al.
Published: (2024)
by: Zhang, Raymond, et al.
Published: (2024)
Thompson Sampling for Multi-Objective Linear Contextual Bandit
by: Park, Somangchan, et al.
Published: (2025)
by: Park, Somangchan, et al.
Published: (2025)
On Thompson Sampling and Bilateral Uncertainty in Additive Bayesian Optimization
by: Wycoff, Nathan
Published: (2025)
by: Wycoff, Nathan
Published: (2025)
Thompson Sampling-like Algorithms for Stochastic Rising Bandits
by: Fiandri, Marco, et al.
Published: (2025)
by: Fiandri, Marco, et al.
Published: (2025)
An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits
by: Gouverneur, Amaury, et al.
Published: (2024)
by: Gouverneur, Amaury, et al.
Published: (2024)
Sliding-Window Thompson Sampling for Non-Stationary Settings
by: Fiandri, Marco, et al.
Published: (2024)
by: Fiandri, Marco, et al.
Published: (2024)
VITS : Variational Inference Thompson Sampling for contextual bandits
by: Clavier, Pierre, et al.
Published: (2023)
by: Clavier, Pierre, et al.
Published: (2023)
FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling
by: Huang, Hong, et al.
Published: (2025)
by: Huang, Hong, et al.
Published: (2025)
Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift
by: Li, Bochao, et al.
Published: (2026)
by: Li, Bochao, et al.
Published: (2026)
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
by: Qiao, Rui, et al.
Published: (2025)
by: Qiao, Rui, et al.
Published: (2025)
Counterfactual Inference under Thompson Sampling
by: Jeunen, Olivier
Published: (2025)
by: Jeunen, Olivier
Published: (2025)
Similar Items
-
Variational Learning of Fractional Posteriors
by: Chai, Kian Ming A., et al.
Published: (2026) -
Rényi Neural Processes
by: Wang, Xuesong, et al.
Published: (2024) -
Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems
by: Wang, Xuesong, et al.
Published: (2026) -
Generative Bayesian Optimization: Generative Models as Acquisition Functions
by: Oliveira, Rafael, et al.
Published: (2025) -
Graph Neural Thompson Sampling
by: Wu, Shuang, et al.
Published: (2024)