Cover Image

Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brooks, Marc, Durham, Gabriel, Hong, Kihyuk, Tewari, Ambuj
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GenAI-Powered Inference
by: Imai, Kosuke, et al.
Published: (2025)

A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
by: Hong, Kihyuk, et al.
Published: (2024)

A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
by: Hong, Kihyuk, et al.
Published: (2025)

Learning to Partially Defer for Sequences
by: Rayan, Sahana, et al.
Published: (2025)

Distribution-Free Robust Predict-Then-Optimize in Function Spaces
by: Patel, Yash, et al.
Published: (2026)

A Greedy PDE Router for Blending Neural Operators and Classical Methods
by: Rayan, Sahana, et al.
Published: (2025)

Offline Constrained Reinforcement Learning under Partial Data Coverage
by: Ko, Seokmin, et al.
Published: (2025)

Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)

On the Computational Complexity of Private High-dimensional Model Selection
by: Roy, Saptarshi, et al.
Published: (2023)

Industrializing Prediction-Powered Inference: The GLIDE Library for Reliable GenAI and Agentic Systems Evaluation
by: Martinon, Grégoire, et al.
Published: (2026)

Variational Inference with Coverage Guarantees in Simulation-Based Inference
by: Patel, Yash, et al.
Published: (2023)

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

If generative AI is the answer, what is the question?
by: Tewari, Ambuj
Published: (2025)

Counterfactual Inference under Thompson Sampling
by: Jeunen, Olivier
Published: (2025)

Optimal Thresholding Linear Bandit
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)

Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs
by: Hong, Kihyuk, et al.
Published: (2024)

Near Optimal Pure Exploration in Logistic Bandits
by: Rivera, Eduardo Ochoa, et al.
Published: (2024)

Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span
by: Chae, Woojin, et al.
Published: (2024)

Tree Bandits for Generative Bayes
by: O'Hagan, Sean, et al.
Published: (2024)

Sampling as Bandits: Evaluation-Efficient Design for Black-Box Densities
by: Matsubara, Takuo, et al.
Published: (2025)

DoubleGen: Debiased Generative Modeling of Counterfactuals
by: Luedtke, Alex, et al.
Published: (2025)

Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference
by: Chen, Li, et al.
Published: (2026)

M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model
by: Li, Xingyu, et al.
Published: (2025)

Leveraging Offline Data in Linear Latent Contextual Bandits
by: Kausik, Chinmaya, et al.
Published: (2024)

Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
by: Zhan, Ruohan, et al.
Published: (2021)

GenAI Powered Dynamic Causal Inference with Unstructured Data
by: Nakamura, Kentaro, et al.
Published: (2026)

Prediction-Powered Adaptive Shrinkage Estimation
by: Li, Sida, et al.
Published: (2025)

Linear Contextual Bandits with Interference
by: Xu, Yang, et al.
Published: (2024)

Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance
by: Chan, Carri W., et al.
Published: (2026)

Latency-Aware Contextual Bandit: Application to Cryo-EM Data Collection
by: Wei, Lai, et al.
Published: (2024)

Sample Efficient Bayesian Learning of Causal Graphs from Interventions
by: Zhou, Zihan, et al.
Published: (2024)

Multi-Armed Bandits with Network Interference
by: Agarwal, Abhineet, et al.
Published: (2024)

Sample size planning for conditional counterfactual mean estimation with a K-armed randomized experiment
by: Ruiz, Gabriel
Published: (2024)

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
by: Deliu, Nina, et al.
Published: (2022)

High-dimensional Nonparametric Contextual Bandit Problem
by: Iwazaki, Shogo, et al.
Published: (2025)

Q-Learning with Clustered-SMART (cSMART) Data: Examining Moderators in the Construction of Clustered Adaptive Interventions
by: Song, Yao, et al.
Published: (2025)

Locally Private Nonparametric Contextual Multi-armed Bandits
by: Ma, Yuheng, et al.
Published: (2025)

Nearly Optimal Best Arm Identification for Semiparametric Bandits
by: Kim, Seok-Jin
Published: (2026)

PPI is the Difference Estimator: Recognizing the Survey Sampling Roots of Prediction-Powered Inference
by: Mozer, Reagan
Published: (2026)

High-Dimensional Linear Bandits under Stochastic Latent Heterogeneity
by: Chen, Elynn, et al.
Published: (2025)