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Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization
11 references·16 citing·25 second hop
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization (2012)Parallelizing Exploration-Exploitation Tr…Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Information-Theoretic Regret …Entropy search for information-efficient global optimization (2012)Entropy search for informatio…Improved Algorithms for Linear Stochastic Bandits (2011)Improved Algorithms for Linea…A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)A Tutorial on Bayesian Optimi…Pure Exploration in Multi-armed Bandits Problems (2009)Pure Exploration in Multi-arm…Stochastic Linear Optimization Under Bandit Feedback (2008)Stochastic Linear Optimizatio…Multi-armed bandits in metric spaces (2008)Multi-armed bandits in metric…Using confidence bounds for exploitation-exploration trade-offs (2003)Using confidence bounds for e…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Bandit Processes and Dynamic Allocation Indices (1979)Bandit Processes and Dynamic …Some aspects of the sequential design of experiments (1952)Some aspects of the sequentia…Spectral bandits for smooth graph functions (2026)Spectral bandits for smooth g…Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process (2023)Surrogate Modeling for Bayesi…New paradigms for exploiting parallel experiments in Bayesian optimization (2022)New paradigms for exploiting …Bayesian Optimization for Categorical and Category-Specific Continuous Inputs (2020)Bayesian Optimization for Cat…Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly (2019)Tuning Hyperparameters withou…Batch Bayesian optimization using multi-scale search (2019)Batch Bayesian optimization u…Parallelised Bayesian Optimisation via Thompson Sampling (2018)Parallelised Bayesian Optimis…Practical Bayesian support vector regression for financial time series prediction and market condition change detection (2017)Practical Bayesian support ve…Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space (2017)Parallel and Distributed Thom…Batched Large-scale Bayesian Optimization in High-dimensional Spaces (2017)Batched Large-scale Bayesian …Batched Gaussian Process Bandit Optimization via Determinantal Point Processes (2016)Batched Gaussian Process Band…Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions (2015)Parallel Predictive Entropy S…Online learning under delayed feedback (2015)Online learning under delayed…Parallel Gaussian process optimization with upper confidence bound and pure exploration (2013)Parallel Gaussian process opt…Gaussian Process Optimization with Mutual Information (2013)Gaussian Process Optimization…Active Learning for Level Set Estimation (2013)Active Learning for Level Set…On stochastic differential equations (1951)Predictive Entropy Search for Efficient Global Optimization of Black-box Functions (2014)Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets (2016)The Nonstochastic Multiarmed Bandit Problem (2002)Almost Optimal Exploration in Multi-Armed Bandits (2013)From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning (2014)Non-stochastic Best Arm Identification and Hyperparameter Optimization (2015)A Stochastic Approximation Method (1951)Design and Analysis of Computer Experiments (1989)Advances in prospect theory: Cumulative representation of uncertainty (1992)The Adaptive Decision Maker (1994)A Tutorial on Bayesian Optimization (2018)Bayesian Optimization (2018)Prediction, Learning, and Games (2006)Thompson Sampling for Contextual Bandits with Linear Payoffs (2012)Learning to Optimize via Posterior Sampling (2014)Applied Statistical Decision Theory (1962)Applied Statistical Decision Theory. (1962)Restless bandits: activity allocation in a changing world (1988)Legislative leviathan: party government in the House (1993)Introduction to Multi-Armed Bandits (2019)Bandit Algorithms (2020)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Contextual Bandits with Linear Payoff Functions (2011)
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References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 1952Some aspects of the sequential design of experiments2,183 cited
  • 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,098 cited
  • 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning2,053 cited
  • 1979Bandit Processes and Dynamic Allocation Indices1,488 cited
  • 2003Using confidence bounds for exploitation-exploration trade-offs1,189 cited
  • 2011Improved Algorithms for Linear Stochastic Bandits860 cited
  • 2008Stochastic Linear Optimization Under Bandit Feedback581 cited
  • 2012Entropy search for information-efficient global optimization456 cited
  • 2009Pure Exploration in Multi-armed Bandits Problems365 cited
  • 2008Multi-armed bandits in metric spaces353 cited

Cited by

  • 2018Parallelised Bayesian Optimisation via Thompson Sampling145 cited
  • 2013Parallel Gaussian process optimization with upper confidence bound and pure exploration144 cited
  • 2017Batched Large-scale Bayesian Optimization in High-dimensional Spaces114 cited
  • 2013

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Active Learning for Level Set Estimation
109 cited
  • 2015Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions108 cited
  • 2019Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly98 cited
  • 2017Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space89 cited
  • 2015Online learning under delayed feedback89 cited
  • 2019Batch Bayesian optimization using multi-scale search68 cited
  • 2023Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process65 cited
  • 2017Practical Bayesian support vector regression for financial time series prediction and market condition change detection64 cited
  • 2016Batched Gaussian Process Bandit Optimization via Determinantal Point Processes58 cited
  • 2013Gaussian Process Optimization with Mutual Information53 cited
  • 2022New paradigms for exploiting parallel experiments in Bayesian optimization46 cited
  • 2026Spectral bandits for smooth graph functions45 cited
  • 2020Bayesian Optimization for Categorical and Category-Specific Continuous Inputs44 cited