bandit optimization

Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization UAI 2026 Quantum Non-Linear Bandit Optimization AAAI 2026 Satisficing Regret Minimization in Bandits ICLR 2025 Communication-Efficient Federated Non-Linear Bandit Optimization ICLR 2024 A Bayesian approach for bandit online optimization with switching cost UAI 2023 Lifelong bandit optimization: no prior and no regret UAI 2023 Neural Design for Genetic Perturbation Experiments ICLR 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Tight Bounds for Volumetric Spanners and Applications NeurIPS 2023 A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback AAAI 2022 Gaussian Process Bandit Optimization with Few Batches AISTATS 2022 Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022 Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022 Improved Regret for Zeroth-Order Stochastic Convex Bandits COLT 2021 Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021 No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021 On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021 Optimal Gradient-based Algorithms for Non-concave Bandit Optimization NeurIPS 2021 Optimal Order Simple Regret for Gaussian Process Bandits NeurIPS 2021 Projection-Free Bandit Optimization with Privacy Guarantees AAAI 2021 Reinforcement Learning for Constrained Markov Decision Processes AISTATS 2021 Smooth Bandit Optimization: Generalization to Holder Space AISTATS 2021 Bandit optimisation of functions in the Matérn kernel RKHS AISTATS 2020 Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020 Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective NeurIPS 2020