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Non-stochastic Best Arm Identification and Hyperparameter Optimization
5 references·3 citing·25 second hop
Non-stochastic Best Arm Identification and Hyperparameter Optimization (2015)Non-stochastic Best Arm Identification an…On the Complexity of Best Arm Identification in Multi-Armed Bandit Models (2014)On the Complexity of Best Arm…Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Regret Analysis of Stochastic…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Pure Exploration in Multi-armed Bandits Problems (2009)Pure Exploration in Multi-arm…The Nonstochastic Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed …Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML (2024)Can Fairness be Automated? Gu…Promoting Fairness through Hyperparameter Optimization (2021)Promoting Fairness through Hy…Fast Bayesian hyperparameter optimization on large datasets (2017)Fast Bayesian hyperparameter …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)Intelligent facial emotion recognition based on stationary wavelet entropy and Jaya algorithm (2017)A unified framework for stochastic optimization (2018)Trusting Virtual Agents (2019)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)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)Bayesian Optimization with Inequality Constraints (2014)Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (2016)A Reductions Approach to Fair Classification (2018)Optimizing Equity: Working towards Fair Machine Learning Algorithms in Laboratory Medicine (2023)Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation. (2024)Dissecting racial bias in an algorithm used to manage the health of populations (2019)A Survey on Bias and Fairness in Machine Learning (2021)Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization (2012)Almost Optimal Exploration in Multi-Armed Bandits (2013)From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning (2014)A Tutorial on Bayesian Optimization (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Information-seeking, curiosity, and attention: computational and neural mechanisms (2013)Bandit Algorithms (2020)
this work references cited by second hop

References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2002The Nonstochastic Multiarmed Bandit Problem2,210 cited
  • 2012Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems1,275 cited
  • 2014On the Complexity of Best Arm Identification in Multi-Armed Bandit Models704 cited
  • 2009Pure Exploration in Multi-armed Bandits Problems365 cited

Cited by

  • 2017Fast Bayesian hyperparameter optimization on large datasets67 cited
  • 2021Promoting Fairness through Hyperparameter Optimization28 cited
  • 2024Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML24 cited

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