Co-occurring keywords · papers mentioning both
Papers
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
ICLR 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback
NeurIPS 2024
Online Newton Method for Bandit Convex Optimisation Extended Abstract
COLT 2024
Second Order Methods for Bandit Optimization and Control
COLT 2024
Tight Rates for Bandit Control Beyond Quadratics
NeurIPS 2024
A Second-Order Method for Stochastic Bandit Convex Optimisation
COLT 2023
Federated Online and Bandit Convex Optimization
ICML 2023
Optimal Rates for Bandit Nonstochastic Control
NeurIPS 2023
Adaptive Bandit Convex Optimization with Heterogeneous Curvature
COLT 2022
Bandit Convex Optimization in Non-stationary Environments
JMLR 2021
Efficient Bandit Convex Optimization: Beyond Linear Losses
COLT 2021
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
ICML 2021
An Optimal Algorithm for Bandit Convex Optimization with Strongly-Convex and Smooth Loss
AISTATS 2020
Bandit Convex Optimization in Non-stationary Environments
AISTATS 2020
Geometric Exploration for Online Control
NeurIPS 2020
Improved Regret Bounds for Projection-free Bandit Convex Optimization
AISTATS 2020
Bandit Online Learning with Unknown Delays
AISTATS 2019
Projection-Free Bandit Convex Optimization
AISTATS 2019
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback
JMLR 2017
Multi-scale exploration of convex functions and bandit convex optimization
COLT 2016
Optimistic Bandit Convex Optimization
NeurIPS 2016
Bandit Convex Optimization: \sqrtT Regret in One Dimension
COLT 2015
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
NeurIPS 2015
Bandit Convex Optimization: Towards Tight Bounds
NeurIPS 2014