:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Shibukawa, Yuki, Tanaka, Koichi, Saito, Yuta, Ito, Shinji
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2603.07005
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
par: Shimizu, Tatsuhiro, et autres
Publié: (2024)

Influential Bandits: Pulling an Arm May Change the Environment
par: Sato, Ryoma, et autres
Publié: (2025)

Bandit Max-Min Fair Allocation
par: Harada, Tsubasa, et autres
Publié: (2025)

Bandit and Delayed Feedback in Online Structured Prediction
par: Shibukawa, Yuki, et autres
Publié: (2025)

Optimal Arm Elimination Algorithms for Combinatorial Bandits
par: Wen, Yuxiao, et autres
Publié: (2025)

New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem
par: Ichikawa, Koji, et autres
Publié: (2023)

Multi-Task Combinatorial Bandits for Budget Allocation
par: Ge, Lin, et autres
Publié: (2024)

LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
par: Kato, Masahiro, et autres
Publié: (2024)

Heavy-tailed Linear Bandits: Adversarial Robustness, Best-of-both-worlds, and Beyond
par: Zhao, Canzhe, et autres
Publié: (2025)

Replicability is Asymptotically Free in Multi-armed Bandits
par: Komiyama, Junpei, et autres
Publié: (2024)

A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice
par: Chase, Zachary, et autres
Publié: (2025)

Combinatorial Multi-armed Bandits: Arm Selection via Group Testing
par: Mukherjee, Arpan, et autres
Publié: (2024)

MultiScale Contextual Bandits for Long Term Objectives
par: Rastogi, Richa, et autres
Publié: (2025)

A Perturbation Approach to Unconstrained Linear Bandits
par: Jacobsen, Andrew, et autres
Publié: (2026)

Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction
par: Kiyohara, Haruka, et autres
Publié: (2024)

Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
par: Lee, Jongyeong, et autres
Publié: (2025)

Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
par: Nguyen, Nicolas, et autres
Publié: (2024)

Offline Contextual Bandits in the Presence of New Actions
par: Kishimoto, Ren, et autres
Publié: (2026)

Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback
par: Ito, Shinji, et autres
Publié: (2025)

Combinatorial Rising Bandits
par: Song, Seockbean, et autres
Publié: (2024)

Combinatorial Logistic Bandits
par: Liu, Xutong, et autres
Publié: (2024)

Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies
par: Tanaka, Koichi, et autres
Publié: (2026)

Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds
par: Lee, Jongyeong, et autres
Publié: (2024)

Data-dependent Bounds with $T$-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching
par: Nguyen, Quan, et autres
Publié: (2025)

Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching
par: Kishimoto, Ren, et autres
Publié: (2026)

Off-Policy Learning with Limited Supply
par: Tanaka, Koichi, et autres
Publié: (2026)

Prompt Optimization with Logged Bandit Data
par: Kiyohara, Haruka, et autres
Publié: (2025)

Does Feedback Help in Bandits with Arm Erasures?
par: Karakas, Merve, et autres
Publié: (2025)

EVaR-Optimal Arm Identification in Bandits
par: Ahmadipour, Mehrasa, et autres
Publié: (2025)

Lasso Bandit with Compatibility Condition on Optimal Arm
par: Lee, Harin, et autres
Publié: (2024)

Constrained Best Arm Identification in Grouped Bandits
par: Dharod, Sahil, et autres
Publié: (2024)

Best Arm Identification for Stochastic Rising Bandits
par: Mussi, Marco, et autres
Publié: (2023)

Best-Arm Identification in Unimodal Bandits
par: Poiani, Riccardo, et autres
Publié: (2024)

Adversarial Combinatorial Bandits with Switching Costs
par: Dong, Yanyan, et autres
Publié: (2024)

Oracle-Efficient Combinatorial Semi-Bandits
par: Kim, Jung-hun, et autres
Publié: (2025)

Multi-thresholding Good Arm Identification with Bandit Feedback
par: Jiang, Xuanke, et autres
Publié: (2025)

Combinatorial Bandit Bayesian Optimization for Tensor Outputs
par: Huang, Jingru, et autres
Publié: (2026)

Efficient Swap Regret Minimization in Combinatorial Bandits
par: Kontogiannis, Andreas, et autres
Publié: (2026)

On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
par: Wu, Xiaoyi, et autres
Publié: (2025)

Offline Learning for Combinatorial Multi-armed Bandits
par: Liu, Xutong, et autres
Publié: (2025)