Co-occurring keywords · papers mentioning both
Papers
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
ICML 2020
Best Arm Identification in Spectral Bandits
IJCAI 2020
Finding All ε-Good Arms in Stochastic Bandits
NeurIPS 2020
Fixed-confidence guarantees for Bayesian best-arm identification
AISTATS 2020
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model
ICML 2020
Gamification of Pure Exploration for Linear Bandits
ICML 2020
Optimal Best-arm Identification in Linear Bandits
NeurIPS 2020
The True Sample Complexity of Identifying Good Arms
AISTATS 2020
A Bandit Approach to Maximum Inner Product Search
AAAI 2019
Are sample means in multi-armed bandits positively or negatively biased?
NeurIPS 2019
Best Arm Identification for Contaminated Bandits
JMLR 2019
Bridging the gap between regret minimization and best arm identification, with application to A/B tests
AISTATS 2019
Correlated bandits or: How to minimize mean-squared error online
ICML 2019
Decentralized Exploration in Multi-Armed Bandits
ICML 2019
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards
NeurIPS 2019
Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits
NeurIPS 2019
Optimal Best Markovian Arm Identification with Fixed Confidence
NeurIPS 2019
PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits
ICML 2019
Sample Efficient Graph-Based Optimization with Noisy Observations
AISTATS 2019
Best Arm Identification in Linear Bandits with Linear Dimension Dependency
ICML 2018
Best arm identification in multi-armed bandits with delayed feedback
AISTATS 2018
Best of both worlds: Stochastic & adversarial best-arm identification
COLT 2018
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors
ICML 2018
A KL-LUCB algorithm for Large-Scale Crowdsourcing
NeurIPS 2017
Identifying Best Interventions through Online Importance Sampling
ICML 2017