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Contextual Bandit with Adaptive Feature Extraction
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Contextual Bandit with Adaptive Feature Extraction (2018)Contextual Bandit with Adaptive Feature E…Context Attentive Bandits: Contextual Bandit with Restricted Context (2017)Context Attentive Bandits: Co…Multi-armed bandit problem with known trend (2016)Multi-armed bandit problem wi…Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges. (2015)Multi-armed Bandit Models for…Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges (2015)Multi-armed Bandit Models for…Partial Monitoring—Classification, Regret Bounds, and Algorithms (2014)Partial Monitoring—Classifica…A Neural Networks Committee for the Contextual Bandit Problem (2014)A Neural Networks Committee f…Thompson Sampling for Contextual Bandits with Linear Payoffs (2012)Thompson Sampling for Context…Contextual Bandits with Linear Payoff Functions (2011)Contextual Bandits with Linea…Analysis of Thompson Sampling for the multi-armed bandit problem (2011)Analysis of Thompson Sampling…The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information (2007)The Epoch-Greedy Algorithm fo…The Nonstochastic Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed …Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Stochastic Linear Optimization Under Bandit Feedback (2008)Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms (2011)Collaborative Filtering Bandits (2016)Bandit Processes and Dynamic Allocation Indices (1979)Restless bandits: activity allocation in a changing world (1988)Ensemble Recommendations via Thompson Sampling (2018)Nonstationary Bandits with Habituation and Recovery Dynamics (2020)Multi-Armed Bandit Allocation Indices. (1990)An Empirical Evaluation of Thompson Sampling (2011)Learning to Optimize via Posterior Sampling (2014)Introduction to Multi-Armed Bandits (2019)Some aspects of the sequential design of experiments (1952)Simple Bayesian Algorithms for Best-Arm Identification (2020)Multi-Armed Bandits With Correlated Arms (2021)Whittle index based Q-learning for restless bandits with average reward (2022)Online convex programming and generalized infinitesimal gradient ascent (2003)Prediction, Learning, and Games (2006)Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems (2016)Causal Bandits: Learning Good Interventions via Causal Inference (2016)An Information-Theoretic Approach to Minimax Regret in Partial Monitoring (2019)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Online Learning and Online Convex Optimization (2011)Online Learning and Online Convex Optimization (2012)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)Parametric Bandits: The Generalized Linear Case (2010)Online Decision Making with High-Dimensional Covariates (2019)Survey on Applications of Multi-Armed and Contextual Bandits (2020)Using confidence bounds for exploitation-exploration trade-offs (2003)Further Optimal Regret Bounds for Thompson Sampling (2012)A Tutorial on Thompson Sampling (2018)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Incorporating Behavioral Constraints in Online AI Systems (2019)
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References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 2002The Nonstochastic Multiarmed Bandit Problem2,210 cited
  • 2011Analysis of Thompson Sampling for the multi-armed bandit problem904 cited
  • 2012Thompson Sampling for Contextual Bandits with Linear Payoffs600 cited
  • 2011Contextual Bandits with Linear Payoff Functions599 cited
  • 2007The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information426 cited
  • 2015Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges252 cited
  • 2015Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges.165 cited
  • 2014Partial Monitoring—Classification, Regret Bounds, and Algorithms117 cited
  • 2016Multi-armed bandit problem with known trend70 cited
  • 2017Context Attentive Bandits: Contextual Bandit with Restricted Context64 cited
  • 2014A Neural Networks Committee for the Contextual Bandit Problem62 cited

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