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Advancements in Dueling Bandits
16 references·1 citing·34 second hop
Advancements in Dueling Bandits (2018)Advancements in Dueling BanditsStagewise Safe Bayesian Optimization with Gaussian Processes (2018)Stagewise Safe Bayesian Optim…Preferential Bayesian Optimization (2017)Preferential Bayesian Optimiz…Online Learning to Rank in Stochastic Click Models (2017)Online Learning to Rank in St…Double Thompson Sampling for Dueling Bandits (2016)Double Thompson Sampling for …Online rank elicitation for Plackett-Luce: a dueling bandits approach (2015)Online rank elicitation for P…Reducing Dueling Bandits to Cardinal Bandits (2014)Reducing Dueling Bandits to C…A Survey of Preference-Based Online Learning with Bandit Algorithms (2014)A Survey of Preference-Based …Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem (2013)Relative Upper Confidence Bou…Generic Exploration and K-armed Voting Bandits (2013)Generic Exploration and K-arm…The K-armed dueling bandits problem (2012)The K-armed dueling bandits p…Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Regret Analysis of Stochastic…Interactively optimizing information retrieval systems as a dueling bandits problem (2009)Interactively optimizing info…Regret Minimization Under Partial Monitoring (2006)Regret Minimization Under Par…The Nonstochastic Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed …Some Aspects of the Sequential Design of Experiments (1985)Some Aspects of the Sequentia…Some aspects of the sequential design of experiments (1952)Some aspects of the sequentia…Preference-based Online Learning with Dueling Bandits: A Survey (2018)Preference-based Online Learn…The Theory of Learning in Games (1998)Minimizing Regret With Label Efficient Prediction (2005)Prediction, Learning, and Games (2006)Partial Monitoring—Classification, Regret Bounds, and Algorithms (2014)Sequential Learning for Multi-Channel Wireless Network Monitoring With Channel Switching Costs (2014)A Stochastic Approximation Method (1951)Bandit Processes and Dynamic Allocation Indices (1979)Online convex programming and generalized infinitesimal gradient ascent (2003)Online convex optimization in the bandit setting: gradient descent without a gradient (2004)Learning diverse rankings with multi-armed bandits (2008)Contextual Bandits in a Collaborative Environment (2016)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Comparing Robot and Human guided Personalization: Adaptive Exercise Robots are Perceived as more Competent and Trustworthy (2020)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)Stochastic Linear Optimization Under Bandit Feedback (2008)Online Stochastic Linear Optimization under One-bit Feedback (2015)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)Assortment optimization with position effects under the nested logit model (2019)Joint Learning and Optimization for Multi-Product Pricing (and Ranking) Under a General Cascade Click Model (2022)Multiproduct Dynamic Pricing with Limited Inventories Under a Cascade Click Model (2023)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Linear Stochastic Bandits Under Safety Constraints (2019)Constrained Bayesian Optimization: A Review (2024)A Method of Sampling Inspection (1929)Journal of Parapsychology (1937)Epsilon–First Policies for Budget–Limited Multi-Armed Bandits (2010)The multi-armed bandit problem with covariates (2011)1 1 Online Learning of Rested and Restless Bandits (2012)Information-seeking, curiosity, and attention: computational and neural mechanisms (2013)A unified framework for stochastic optimization (2018)Bandit Algorithms (2020)
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References

  • 2002The Nonstochastic Multiarmed Bandit Problem2,210 cited
  • 1952Some aspects of the sequential design of experiments2,183 cited
  • 2012Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems1,275 cited
  • 2009Interactively optimizing information retrieval systems as a dueling bandits problem268 cited
  • 2012The K-armed dueling bandits problem248 cited
  • 1985Some Aspects of the Sequential Design of Experiments155 cited
  • 2006Regret Minimization Under Partial Monitoring138 cited
  • 2014Reducing Dueling Bandits to Cardinal Bandits97 cited
  • 2018Stagewise Safe Bayesian Optimization with Gaussian Processes88 cited
  • 2017Online Learning to Rank in Stochastic Click Models56 cited
  • 2013Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem53 cited
  • 2013Generic Exploration and K-armed Voting Bandits44 cited
  • 2017Preferential Bayesian Optimization43 cited
  • 2016Double Thompson Sampling for Dueling Bandits40 cited
  • 2015Online rank elicitation for Plackett-Luce: a dueling bandits approach39 cited
  • 2014A Survey of Preference-Based Online Learning with Bandit Algorithms

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  • 2018Preference-based Online Learning with Dueling Bandits: A Survey31 cited