SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Simple regret for infinitely many armed bandits
9 references·1 citing·37 second hop
Simple regret for infinitely many armed bandits (2015)Simple regret for infinitely many armed b…Online Stochastic Optimization under Correlated Bandit Feedback (2014)Online Stochastic Optimizatio…From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning (2014)From Bandits to Monte-Carlo T…lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits (2013)lil' UCB : An Optimal Explora…Information Complexity in Bandit Subset Selection (2013)Information Complexity in Ban…Almost Optimal Exploration in Multi-Armed Bandits (2013)Almost Optimal Exploration in…PAC Subset Selection in Stochastic Multi-armed Bandits (2012)PAC Subset Selection in Stoch…Tuning Bandit Algorithms in Stochastic Environments (2007)Tuning Bandit Algorithms in S…Extreme value theory : an introduction (2006)Extreme value theory : an int…Minimax policies for adversarial and stochastic bandits (2004)Minimax policies for adversar…Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (2016)Hyperband: A Novel Bandit-Bas…Finite-time Analysis of the Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Introduction to Online Convex Optimization (2016)Bandit Algorithms (2020)Some aspects of the sequential design of experiments (1952)Multi-Armed Bandit Allocation Indices. (1990)Solving two‐armed Bernoulli bandit problems using a Bayesian learning automaton (2010)On Upper-Confidence Bound Policies for Switching Bandit Problems (2011)How to Maximize Clicks for Display Advertisement in Digital Marketing? A Reinforcement Learning Approach (2022)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 unified framework for stochastic optimization (2018)Introduction to Multi-Armed Bandits (2019)Learning diverse rankings with multi-armed bandits (2008)Best Arm Identification in Multi-Armed Bandits (2010)Non-stochastic Best Arm Identification and Hyperparameter Optimization (2015)Multi-armed bandits in metric spaces (2008)Contextual Bandits with Similarity Information (2009)Near-optimal Regret Bounds for Reinforcement Learning (2010)Multi-armed Bandits: Competing with Optimal Sequences (2016)Black-box optimization of noisy functions with unknown smoothness (2026)Improved Algorithms for Linear Stochastic Bandits (2011)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Multi-Task Bayesian Optimization (2013)On the Complexity of Best Arm Identification in Multi-Armed Bandit Models (2014)Survey on Applications of Multi-Armed and Contextual Bandits (2020)Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 (2021)Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems (2006)Combinatorial Pure Exploration of Multi-Armed Bandits (2014)On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning (2014)Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence (2012)Optimal Best Arm Identification with Fixed Confidence (2016)Stationary max-stable fields associated to negative definite functions (2009)Statistical Modeling of Spatial Extremes (2012)Power-law distributions in empirical data (2018)
this work references cited by second hop

References

  • 2006Extreme value theory : an introduction1,291 cited
  • 2004Minimax policies for adversarial and stochastic bandits346 cited
  • 2013Almost Optimal Exploration in Multi-Armed Bandits258 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
  • 2007Tuning Bandit Algorithms in Stochastic Environments158 cited
  • 2013Information Complexity in Bandit Subset Selection107 cited
  • 2014Online Stochastic Optimization under Correlated Bandit Feedback45 cited

Cited by

  • 2016Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization1,858 cited

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