Co-occurring keywords · papers mentioning both
Papers
Lower Bounds for Time-Varying Kernelized Bandits
AISTATS 2025
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
AISTATS 2025
Quantum Kernelized Bandits
UAI 2024
Quantum Bayesian Optimization
NeurIPS 2023
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
AISTATS 2022
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion
ICML 2022
Instance Dependent Regret Analysis of Kernelized Bandits
ICML 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making
ICML 2022
High-dimensional Experimental Design and Kernel Bandits
ICML 2021
Misspecified Gaussian Process Bandit Optimization
NeurIPS 2021
Experimental Design for Optimization of Orthogonal Projection Pursuit Models
AAAI 2020
Information Directed Sampling for Linear Partial Monitoring
COLT 2020
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
COLT 2019
Streaming kernel regression with provably adaptive mean, variance, and regularization
JMLR 2018