Cover Image

A Reduction Algorithm for Markovian Contextual Linear Bandits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Buyukkalayci, Kaan, Hanna, Osama, Fragouli, Christina
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning for Bandits under Action Erasures
by: Hanna, Osama, et al.
Published: (2024)

Does Feedback Help in Bandits with Arm Erasures?
by: Karakas, Merve, et al.
Published: (2025)

Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels
by: Hanna, Osama A., et al.
Published: (2023)

ICQuant: Index Coding enables Low-bit LLM Quantization
by: Li, Xinlin, et al.
Published: (2025)

Best-Arm Identification with Noisy Actuation
by: Karakas, Merve, et al.
Published: (2026)

Enhancing Binary Search via Overlapping Partitions
by: Buyukkalayci, Kaan, et al.
Published: (2025)

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
by: van Erven, Tim, et al.
Published: (2025)

Top-P Sensor Selection for Target Localization
by: Buyukkalayci, Kaan, et al.
Published: (2026)

Best-of-Both-Worlds Algorithms for Linear Contextual Bandits
by: Kuroki, Yuko, et al.
Published: (2023)

Practical and Optimal Algorithm for Linear Contextual Bandits with Rare Parameter Updates
by: Yu, Sanghoon, et al.
Published: (2026)

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

Contextual Linear Bandits with Delay as Payoff
by: Zhang, Mengxiao, et al.
Published: (2025)

Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback
by: Goyal, Tanmay, et al.
Published: (2025)

Active Learning for Stochastic Contextual Linear Bandits
by: Brunskill, Emma, et al.
Published: (2026)

Partially Observable Contextual Bandits with Linear Payoffs
by: Zeng, Sihan, et al.
Published: (2024)

Strategic Linear Contextual Bandits
by: Buening, Thomas Kleine, et al.
Published: (2024)

Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions
by: Kang, Yue, et al.
Published: (2025)

Scaling Federated Linear Contextual Bandits via Sketching
by: Yang, Hantao, et al.
Published: (2026)

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

Federated Linear Contextual Bandits with Heterogeneous Clients
by: Blaser, Ethan, et al.
Published: (2024)

Conservative Contextual Bandits: Beyond Linear Representations
by: Deb, Rohan, et al.
Published: (2024)

Linear Contextual Bandits with Hybrid Payoff: Revisited
by: Das, Nirjhar, et al.
Published: (2024)

Direction-Aware Offline-to-Online Learning in Linear Contextual Bandits
by: Han, Zean, et al.
Published: (2026)

Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities
by: Hwang, Taehyun, et al.
Published: (2026)

Shuffle and Joint Differential Privacy for Generalized Linear Contextual Bandits
by: Sarmasarkar, Sahasrajit
Published: (2026)

Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits
by: Kang, Yue, et al.
Published: (2023)

Learning with Incomplete Context: Linear Contextual Bandits with Pretrained Imputation
by: Yan, Hao, et al.
Published: (2025)

Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits
by: Huang, Ziyi, et al.
Published: (2024)

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

Navigating Sparsities in High-Dimensional Linear Contextual Bandits
by: Zhao, Rui, et al.
Published: (2025)

On the Optimal Regret of Locally Private Linear Contextual Bandit
by: Li, Jiachun, et al.
Published: (2024)

A Tractable Online Learning Algorithm for the Multinomial Logit Contextual Bandit
by: Agrawal, Priyank, et al.
Published: (2020)

Attack-Resistant Uniform Fairness for Linear and Smooth Contextual Bandits
by: Zhang, Qingwen, et al.
Published: (2026)

Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
by: Bui, Ha Manh, et al.
Published: (2024)

Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits
by: Werge, Nicklas, et al.
Published: (2023)

Learning Peer Influence Probabilities with Linear Contextual Bandits
by: Faruk, Ahmed Sayeed, et al.
Published: (2025)

A Simple Reduction Scheme for Constrained Contextual Bandits with Adversarial Contexts via Regression
by: Sarkar, Dhruv, et al.
Published: (2026)

Adaptive Bandit Algorithms for Contextual Matching Markets
by: Lin, Shiyun, et al.
Published: (2026)

Quantum-Enhanced Neural Contextual Bandit Algorithms
by: Huang, Yuqi, et al.
Published: (2026)

SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
by: Mukherjee, Subhojyoti, et al.
Published: (2023)