:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhou, Zeyu, Hajek, Bruce, Choi, Nakjung, Walid, Anwar
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning Computation
Acceso en línea:	https://arxiv.org/abs/2203.08082
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Is Thompson Sampling Susceptible to Algorithmic Collusion?
por: Xiong, Yi, et al.
Publicado: (2024)

Learning-augmented Online Algorithm for Two-level Ski-rental Problem
por: Zhang, Keyuan, et al.
Publicado: (2024)

Optimistic Thompson Sampling for No-Regret Learning in Unknown Games
por: Li, Yingru, et al.
Publicado: (2024)

Thompson Sampling for Repeated Newsvendor
por: Chen, Li, et al.
Publicado: (2025)

Constrained Linear Thompson Sampling
por: Gangrade, Aditya, et al.
Publicado: (2025)

Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning
por: Namkoong, Hongseok, et al.
Publicado: (2020)

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy
por: Yang, Hongyang, et al.
Publicado: (2025)

Adaptive Data Augmentation for Thompson Sampling
por: Kim, Wonyoung
Publicado: (2025)

A Broader View of Thompson Sampling
por: Qu, Yanlin, et al.
Publicado: (2025)

Graph Neural Thompson Sampling
por: Wu, Shuang, et al.
Publicado: (2024)

FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing
por: Liu, Xiao-Yang, et al.
Publicado: (2024)

Fast, Precise Thompson Sampling for Bayesian Optimization
por: Sweet, David
Publicado: (2024)

Thompson Sampling in Partially Observable Contextual Bandits
por: Park, Hongju, et al.
Publicado: (2024)

Online Learning of Decision Trees with Thompson Sampling
por: Chaouki, Ayman, et al.
Publicado: (2024)

On Regret Bounds of Thompson Sampling for Bayesian Optimization
por: Takeno, Shion, et al.
Publicado: (2026)

Gated Graph Attention Networks for Predicting Duration of Large Scale Power Outages Induced by Natural Disasters
por: Duan, Chenghao, et al.
Publicado: (2026)

MINTS: Minimalist Thompson Sampling
por: Wang, Kaizheng
Publicado: (2026)

Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance
por: Mohseni-Sehdeh, Saeed, et al.
Publicado: (2025)

TS-Insight: Visualizing Thompson Sampling for Verification and XAI
por: Vares, Parsa, et al.
Publicado: (2025)

Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
por: Zhang, Raymond, et al.
Publicado: (2024)

Reinterpreting 'the Company a Word Keeps': Towards Explainable and Ontologically Grounded Language Models
por: Saba, Walid S.
Publicado: (2024)

Thompson Sampling Itself is Differentially Private
por: Ou, Tingting, et al.
Publicado: (2024)

Counterfactual Inference under Thompson Sampling
por: Jeunen, Olivier
Publicado: (2025)

Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models
por: Fang, Zeyu, et al.
Publicado: (2024)

Thompson Sampling for Multi-Objective Linear Contextual Bandit
por: Park, Somangchan, et al.
Publicado: (2025)

An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits
por: Gouverneur, Amaury, et al.
Publicado: (2024)

On Thompson Sampling and Bilateral Uncertainty in Additive Bayesian Optimization
por: Wycoff, Nathan
Publicado: (2025)

Thompson Sampling in Online RLHF with General Function Approximation
por: Feng, Songtao, et al.
Publicado: (2025)

Thompson Sampling-like Algorithms for Stochastic Rising Bandits
por: Fiandri, Marco, et al.
Publicado: (2025)

Sliding-Window Thompson Sampling for Non-Stationary Settings
por: Fiandri, Marco, et al.
Publicado: (2024)

Stochastically Constrained Best Arm Identification with Thompson Sampling
por: Yang, Le, et al.
Publicado: (2025)

VITS : Variational Inference Thompson Sampling for contextual bandits
por: Clavier, Pierre, et al.
Publicado: (2023)

Thompson Sampling in Function Spaces via Neural Operators
por: Oliveira, Rafael, et al.
Publicado: (2025)

Prior-Aligned Meta-RL: Thompson Sampling with Learned Priors and Guarantees in Finite-Horizon MDPs
por: Zhou, Runlin, et al.
Publicado: (2025)

Thompson Sampling via Fine-Tuning of LLMs
por: Menet, Nicolas, et al.
Publicado: (2025)

Gaussian Process Thompson Sampling via Rootfinding
por: Adebiyi, Taiwo A., et al.
Publicado: (2024)

Epsilon-Greedy Thompson Sampling to Bayesian Optimization
por: Do, Bach, et al.
Publicado: (2024)

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift
por: Li, Bochao, et al.
Publicado: (2026)

BFTS: Thompson Sampling with Bayesian Additive Regression Trees
por: Deng, Ruizhe, et al.
Publicado: (2026)

Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks
por: Xu, Yinglun, et al.
Publicado: (2024)