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Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration
11 references·1 citing·38 second hop
Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration (2017)Nearly Optimal Sampling Algorithms for Co…An optimal algorithm for the Thresholding Bandit Problem (2016)An optimal algorithm for the …On Top-k selection in multi-armed bandits and hidden bipartite graphs (2015)On Top-k selection in multi-a…On the Complexity of Best Arm Identification in Multi-Armed Bandit Models (2014)On the Complexity of Best Arm…From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning (2014)From Bandits to Monte-Carlo T…Combinatorial Pure Exploration of Multi-Armed Bandits (2014)Combinatorial Pure Exploratio…lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits (2013)lil' UCB : An Optimal Explora…Active sequential hypothesis testing (2013)Active sequential hypothesis …PAC Subset Selection in Stochastic Multi-armed Bandits (2012)PAC Subset Selection in Stoch…Efficient Selection of Multiple Bandit Arms: Theory and Practice (2010)Efficient Selection of Multip…PAC Bounds for Multi-armed Bandit and Markov Decision Processes (2002)PAC Bounds for Multi-armed Ba…Sequential Design of Experiments (1992)Sequential Design of Experime…An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits (2020)An Empirical Process Approach…Some aspects of the sequential design of experiments (1952)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (2016)A unified framework for stochastic optimization (2018)Introduction to Multi-Armed Bandits (2019)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)The Nonstochastic Multiarmed Bandit Problem (2002)Multi-armed Bandit Algorithms and Empirical Evaluation (2005)On a Measure of the Information Provided by an Experiment (1956)Sequential Design of Experiments (1959)Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems (2014)Sequential Anomaly Detection Under a Nonlinear System Cost (2019)Simple Bayesian Algorithms for Best-Arm Identification (2020)Prediction, Learning, and Games (2006)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)A fully sequential procedure for indifference-zone selection in simulation (2001)The Sample Complexity of Exploration in the Multi-Armed Bandit Problem (2004)Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems (2006)Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing (2014)Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons. (2017)Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications (2018)On Sequential Designs for Maximizing the Sum of $n$ Observations (1956)Uncertainty, Information, and Sequential Experiments (1962)A Biometrics Invited Paper. A Review of Response Surface Methodology from a Biometric Viewpoint (1975)Pure Exploration in Multi-armed Bandits Problems (2009)Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-armed Bandits (2019)Good arm identification via bandit feedback (2019)Gamification of Pure Exploration for Linear Bandits (2020)Best Arm Identification in Multi-Armed Bandits (2010)Improved Algorithms for Linear Stochastic Bandits (2011)Non-stochastic Best Arm Identification and Hyperparameter Optimization (2015)Combinatorial Multi-Armed Bandit with General Reward Functions (2016)Non-Asymptotic Pure Exploration by Solving Games (2019)Pure Exploration with Multiple Correct Answers (2019)Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence (2012)Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting (2014)
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References

  • 2014On the Complexity of Best Arm Identification in Multi-Armed Bandit Models790 cited
  • 2002PAC Bounds for Multi-armed Bandit and Markov Decision Processes327 cited
  • 1992Sequential Design of Experiments309 cited
  • 2013Active sequential hypothesis testing243 cited
  • 2014From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning233 cited
  • 2013lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits196 cited
  • 2012PAC Subset Selection in Stochastic Multi-armed Bandits188 cited
  • 2014Combinatorial Pure Exploration of Multi-Armed Bandits104 cited
  • 2016An optimal algorithm for the Thresholding Bandit Problem68 cited
  • 2010Efficient Selection of Multiple Bandit Arms: Theory and Practice64 cited
  • 2015On Top-k selection in multi-armed bandits and hidden bipartite graphs31 cited

Cited by

  • 2020An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits26 cited

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