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regret bound
regret bound
1926 papers
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Also known as
RB
Co-occurring keywords
online learning
(1777)
multi-armed bandit
(1098)
contextual bandit
(381)
stochastic optimization
(1060)
reinforcement learning
(4352)
online algorithm
(445)
upper confidence bound
(197)
markov decision process
(790)
thompson sampling
(237)
online convex optimization
(165)
Papers
Neural Pseudo-Label Optimism for the Bank Loan Problem
NIPS 2021
Simple combinatorial algorithms for combinatorial bandits: corruptions and approximations
UAI 2021
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon
COLT 2021
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms
AISTATS 2021
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
NIPS 2021
Optimizing Conditional Value-At-Risk of Black-Box Functions
NIPS 2021
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
NIPS 2021
Parallelizing Thompson Sampling
NIPS 2021
Making the most of your day: online learning for optimal allocation of time
NIPS 2021
Online Adaptation to Label Distribution Shift
NIPS 2021
Littlestone Classes are Privately Online Learnable
NIPS 2021
Beyond Bandit Feedback in Online Multiclass Classification
NIPS 2021
Data driven semi-supervised learning
NIPS 2021
Learning-to-learn non-convex piecewise-Lipschitz functions
NIPS 2021
Doubly Robust Thompson Sampling with Linear Payoffs
NIPS 2021
Online Control of Unknown Time-Varying Dynamical Systems
NIPS 2021
Multi-armed Bandit Requiring Monotone Arm Sequences
NIPS 2021
The Pareto Frontier of model selection for general Contextual Bandits
NIPS 2021
Stochastic bandits with groups of similar arms.
NIPS 2021
Asynchronous Decentralized Online Learning
NIPS 2021
Best-case lower bounds in online learning
NIPS 2021
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
NIPS 2021
Bandits with Knapsacks beyond the Worst Case
NIPS 2021
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
NIPS 2021
Robust Learning-Based Control via Bootstrapped Multiplicative Noise
L4DC 2020
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