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Improved Rates for the Stochastic Continuum-Armed Bandit Problem
3 references·16 citing·33 second hop
Improved Rates for the Stochastic Continuum-Armed Bandit Problem (2007)Improved Rates for the Stochastic Continu…Nearly Tight Bounds for the Continuum-Armed Bandit Problem (2004)Nearly Tight Bounds for the C…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…The Continuum-Armed Bandit Problem (1995)The Continuum-Armed Bandit Pr…Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand (2021)Nonparametric Learning Algori…Bandits and Experts in Metric Spaces (2019)Bandits and Experts in Metric…Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems (2016)Adaptive Contract Design for …Regret Minimization for Reserve Prices in Second-Price Auctions (2014)Regret Minimization for Reser…Bandit Algorithms for Tree Search (2014)Bandit Algorithms for Tree Se…Stochastic Convex Optimization with Bandit Feedback (2013)Stochastic Convex Optimizatio…Parallel Gaussian process optimization with upper confidence bound and pure exploration (2013)Parallel Gaussian process opt…Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration (2013)Parallel Gaussian Process Opt…Online Learning for Linearly Parametrized Control Problems (2013)Online Learning for Linearly …Dynamic Pricing and Learning: Historical Origins, Current Research, and New Directions (2013)Dynamic Pricing and Learning:…Dynamic pricing with limited supply (2012)Dynamic pricing with limited …Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness (2011)Optimistic Optimization of a …Lipschitz Bandits without the Lipschitz Constant (2011)Lipschitz Bandits without the…Contextual Multi-Armed Bandits (2010)Contextual Multi-Armed BanditsOnline Optimization in X-Armed Bandits (2008)Online Optimization in X-Arme…Algorithms for Infinitely Many-Armed Bandits (2008)Algorithms for Infinitely Man…The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Finite-Time Analysis of Kernelised Contextual Bandits (2013)Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits (2015)From Ads to Interventions: Contextual Bandits in Mobile Health (2017)Some aspects of the sequential design of experiments (1952)Stochastic Approximation Methods for Constrained and Unconstrained Systems (1978)Asymptotically efficient allocation rules for the multiarmed bandit problem with multiple plays-Part I: I.I.D. rewards (1987)Online linear optimization and adaptive routing (2007)Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms (2014)Best Arm Identification in Multi-Armed Bandits (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning (2014)Bayesian Optimization with Exponential Convergence (2016)A Global Bayesian Optimization Algorithm and Its Application to Integrated System Design (2018)Stochastic Estimation of the Maximum of a Regression Function (1952)Online convex programming and generalized infinitesimal gradient ascent (2003)Contextual Bandits with Similarity Information (2009)Interactively optimizing information retrieval systems as a dueling bandits problem (2009)UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem (2010)Multi-armed bandits in metric spaces (2008)High-Dimensional Gaussian Process Bandits (2013)Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms (2014)Online convex optimization in the bandit setting: gradient descent without a gradient (2004)Coordinating Pricing and Inventory Replenishment with Nonparametric Demand Learning (2015)Bandit Convex Optimization with Biased Noisy Gradient Oracles (2017)Multi-Modal Dynamic Pricing (2019)Theory of optimal experiments (1972)Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions (2015)Batched Large-scale Bayesian Optimization in High-dimensional Spaces (2017)Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space (2017)Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards (2013)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)
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References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 2004Nearly Tight Bounds for the Continuum-Armed Bandit Problem285 cited
  • 1995The Continuum-Armed Bandit Problem201 cited

Cited by

  • 2010Contextual Multi-Armed Bandits175 cited
  • 2014Bandit Algorithms for Tree Search170 cited
  • 2013Stochastic Convex Optimization with Bandit Feedback167 cited
  • 2008Algorithms for Infinitely Many-Armed Bandits159 cited
  • 2011Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness145 cited
  • 2013Parallel Gaussian process optimization with upper confidence bound and pure exploration144 cited
  • 2008Online Optimization in X-Armed Bandits131 cited
  • 2012Dynamic pricing with limited supply98 cited
  • 2014Regret Minimization for Reserve Prices in Second-Price Auctions97 cited
  • 2013Online Learning for Linearly Parametrized Control Problems90 cited
  • 2021Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand85 cited
  • 2019Bandits and Experts in Metric Spaces75 cited

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2016
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems
75 cited
  • 2013Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration70 cited
  • 2013Dynamic Pricing and Learning: Historical Origins, Current Research, and New Directions67 cited
  • 2011Lipschitz Bandits without the Lipschitz Constant66 cited