Cover Image

Consequences of Kernel Regularity for Bandit Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Madison, Javidi, Tara
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Ask: Decision Transformers for Adaptive Quantitative Group Testing
by: Soleymani, Mahdi, et al.
Published: (2025)

From Relative Entropy to Minimax: A Unified Framework for Coverage in MDPs
by: Gu, Xihe, et al.
Published: (2026)

$κ$-Explorer: A Unified Framework for Active Model Estimation in MDPs
by: Gu, Xihe, et al.
Published: (2026)

Coverage Analysis for Digital Cousin Selection -- Improving Multi-Environment Q-Learning
by: Bozkus, Talha, et al.
Published: (2024)

Convex and Non-convex Federated Learning with Stale Stochastic Gradients: Diminishing Step Size is All You Need
by: Zheng, Xinran, et al.
Published: (2026)

Laplacian Kernelized Bandit
by: Wu, Shuang, et al.
Published: (2026)

Sharper Guarantees for Misspecified Kernelized Bandit Optimization
by: Maran, Davide, et al.
Published: (2026)

Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery
by: Gozeten, Halil Alperen, et al.
Published: (2026)

Differentially Private Kernelized Contextual Bandits
by: Pavlovic, Nikola, et al.
Published: (2025)

Nonparametric Kernel Clustering with Bandit Feedback
by: Thuot, Victor, et al.
Published: (2026)

Trojan Cleansing with Neural Collapse
by: Gu, Xihe, et al.
Published: (2024)

Nearly-Optimal Algorithm for Adversarial Kernelized Bandits
by: Iwazaki, Shogo
Published: (2026)

Near-Optimal Regret in Adversarial Kernel Bandits
by: Zhang, Yu-Jie, et al.
Published: (2026)

KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
by: Ran, Dezhi, et al.
Published: (2025)

Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
by: Elenter, Juan, et al.
Published: (2023)

CI-CBM: Class-Incremental Concept Bottleneck Model for Interpretable Continual Learning
by: Javadi, Amirhosein, et al.
Published: (2026)

Batched Kernelized Bandits: Refinements and Extensions
by: Ma, Chenkai, et al.
Published: (2026)

Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
by: Iwazaki, Shogo, et al.
Published: (2024)

On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)

Lower Bounds for Time-Varying Kernelized Bandits
by: Cai, Xu, et al.
Published: (2024)

RIE-Greedy: Regularization-Induced Exploration for Contextual Bandits
by: Li, Tong, et al.
Published: (2026)

Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
by: Zhao, Heyang, et al.
Published: (2024)

Regularized $f$-Divergence Kernel Tests
by: Ribero, Mónica, et al.
Published: (2026)

Stability and Robustness via Regularization: Bandit Inference via Regularized Stochastic Mirror Descent
by: Halder, Budhaditya, et al.
Published: (2026)

Regret Bounds for Noise-Free Cascaded Kernelized Bandits
by: Li, Zihan, et al.
Published: (2022)

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

Online Learning of Whittle Indices for Restless Bandits with Non-Stationary Transition Kernels
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2025)

Open Problem: Tight Bounds for Kernelized Multi-Armed Bandits with Bernoulli Rewards
by: Mussi, Marco, et al.
Published: (2024)

Differential Privacy in Kernelized Contextual Bandits via Random Projections
by: Pavlovic, Nikola, et al.
Published: (2025)

A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits
by: Li, Jiannan, et al.
Published: (2025)

SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection
by: Heydaribeni, Nasimeh, et al.
Published: (2023)

Neural Logistic Bandits
by: Bae, Seoungbin, et al.
Published: (2025)

Learning-Based User Association for MmWave Vehicular Networks With Kernelized Contextual Bandits
by: He, Xiaoyang, et al.
Published: (2025)

Tighter Regret Lower Bound for Gaussian Process Bandits with Squared Exponential Kernel in Hypersphere
by: Iwazaki, Shogo
Published: (2026)

$L_1$-norm Regularized Indefinite Kernel Logistic Regression
by: Wang, Shaoxin, et al.
Published: (2025)

A Hybrid Federated Kernel Regularized Least Squares Algorithm
by: Damiani, Celeste, et al.
Published: (2024)

HyperArm Bandit Optimization: A Novel approach to Hyperparameter Optimization and an Analysis of Bandit Algorithms in Stochastic and Adversarial Settings
by: Karroum, Samih, et al.
Published: (2025)

On Transportability for Structural Causal Bandits
by: Park, Min Woo, et al.
Published: (2025)

Infrequent Exploration in Linear Bandits
by: Lee, Harin, et al.
Published: (2025)

Stochastic Matching Bandits with Rare Optimization Updates
by: Kim, Jung-hun, et al.
Published: (2025)