Co-occurring keywords · papers mentioning both
Papers
Learning Neural Contextual Bandits through Perturbed Rewards
ICLR 2022
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
NeurIPS 2022
Linearizing contextual bandits with latent state dynamics
UAI 2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
NeurIPS 2022
Model Selection in Batch Policy Optimization
ICML 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
NeurIPS 2022
Neural Contextual Bandits with Deep Representation and Shallow Exploration
ICLR 2022
Neural Contextual Bandits without Regret
AISTATS 2022
Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive Trials
JMLR 2022
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
ICLR 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings
ICML 2022
Pessimism for Offline Linear Contextual Bandits using ℓ_p Confidence Sets
NeurIPS 2022
Privacy Amplification via Shuffling for Linear Contextual Bandits
ALT 2022
Provable General Function Class Representation Learning in Multitask Bandits and MDP
NeurIPS 2022
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
AISTATS 2022
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
NeurIPS 2022
Simulating Bandit Learning from User Feedback for Extractive Question Answering
ACL 2022
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
ICML 2022
Smoothed Online Learning is as Easy as Statistical Learning
COLT 2022
Stateful Offline Contextual Policy Evaluation and Learning
AISTATS 2022
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models
ICML 2022
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
NeurIPS 2022
Thresholded Lasso Bandit
ICML 2022
Tsetlin Machine for Solving Contextual Bandit Problems
NeurIPS 2022
Universal and data-adaptive algorithms for model selection in linear contextual bandits
ICML 2022