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Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence
6 references·11 citing·24 second hop
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence (2012)Best Arm Identification: A Unified Approa…PAC Subset Selection in Stochastic Multi-armed Bandits (2012)PAC Subset Selection in Stoch…Best Arm Identification in Multi-Armed Bandits (2010)Best Arm Identification in Mu…Pure Exploration in Multi-armed Bandits Problems (2009)Pure Exploration in Multi-arm…Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems (2006)Action Elimination and Stoppi…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Some aspects of the sequential design of experiments (1952)Some aspects of the sequentia…Review on ranking and selection: A new perspective (2021)Review on ranking and selecti…Simple Bayesian Algorithms for Best-Arm Identification (2020)Simple Bayesian Algorithms fo…Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications (2018)Combinatorial Pure Exploratio…A new acquisition function for Bayesian optimization based on the moment-generating function (2017)A new acquisition function fo…Optimal Best Arm Identification with Fixed Confidence (2016)Optimal Best Arm Identificati…Causal Bandits: Learning Good Interventions via Causal Inference (2016)Causal Bandits: Learning Good…On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning (2014)On correlation and budget con…Combinatorial Pure Exploration of Multi-Armed Bandits (2014)Combinatorial Pure Exploratio…Best-Arm Identification in Linear Bandits (2014)Best-Arm Identification in Li…Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting (2014)Best-arm identification algor…Information Complexity in Bandit Subset Selection (2013)Information Complexity in Ban…Prediction, Learning, and Games (2006)Almost Optimal Exploration in Multi-Armed Bandits (2013)Safe Exploration for Optimization with Gaussian Processes (2015)A unified framework for stochastic optimization (2018)The Nonstochastic Multiarmed Bandit Problem (2002)Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization (2012)Non-stochastic Best Arm Identification and Hyperparameter Optimization (2015)A Stochastic Approximation Method (1951)Analysis of Thompson Sampling for the multi-armed bandit problem (2011)Indifference-Zone-Free Selection of the Best (2016)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)The Epoch-Greedy algorithm for contextual multi-armed bandits (2007)UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem (2010)Bandit Processes and Dynamic Allocation Indices (1979)An Empirical Evaluation of Thompson Sampling (2011)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Improved Algorithms for Linear Stochastic Bandits (2011)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Non-Asymptotic Pure Exploration by Solving Games (2019)Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization (2000)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Stochastic optimization using grey wolf optimization with optimal computing budget allocation (2021)Ranking and selection for pairwise comparison (2023)Deep Controlled Learning for Inventory Control (2025)
this work references cited by second hop

References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 1952Some aspects of the sequential design of experiments2,183 cited
  • 2010Best Arm Identification in Multi-Armed Bandits418 cited
  • 2006Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems410 cited
  • 2009Pure Exploration in Multi-armed Bandits Problems365 cited
  • 2012PAC Subset Selection in Stochastic Multi-armed Bandits188 cited

Cited by

  • 2014Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting115 cited
  • 2016Optimal Best Arm Identification with Fixed Confidence115 cited
  • 2020Simple Bayesian Algorithms for Best-Arm Identification114 cited
  • 2021Review on ranking and selection: A new perspective109 cited
  • 2013Information Complexity in Bandit Subset Selection107 cited
  • 2014Combinatorial Pure Exploration of Multi-Armed Bandits104 cited
  • 2014On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning85 cited
  • 2017A new acquisition function for Bayesian optimization based on the moment-generating function80 cited
  • 2014

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Best-Arm Identification in Linear Bandits
78 cited
  • 2016Causal Bandits: Learning Good Interventions via Causal Inference72 cited
  • 2018Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications60 cited