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Corruption-tolerant bandit learning
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Corruption-tolerant bandit learning (2018)Corruption-tolerant bandit learningStochastic bandits robust to adversarial corruptions (2018)Stochastic bandits robust to …From Ads to Interventions: Contextual Bandits in Mobile Health (2017)From Ads to Interventions: Co…On Context-Dependent Clustering of Bandits (2016)On Context-Dependent Clusteri…Online Clustering of Bandits (2014)Online Clustering of BanditsOne Practical Algorithm for Both Stochastic and Adversarial Bandits (2014)One Practical Algorithm for B…Bandits With Heavy Tail (2013)Bandits With Heavy TailAutomatic ad format selection via contextual bandits (2013)Automatic ad format selection…The best of both worlds: stochastic and adversarial bandits (2012)The best of both worlds: stoc…The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond (2011)The KL-UCB Algorithm for Boun…Improved Algorithms for Linear Stochastic Bandits (2011)Improved Algorithms for Linea…Contextual Bandits with Linear Payoff Functions (2011)Contextual Bandits with Linea…Exploration–exploitation tradeoff using variance estimates in multi-armed bandits (2009)Exploration–exploitation trad…Mortal Multi-Armed Bandits (2008)Mortal Multi-Armed BanditsTuning Bandit Algorithms in Stochastic Environments (2007)Tuning Bandit Algorithms in S…The Nonstochastic Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed …Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Stochastic Linear Optimization Under Bandit Feedback (2008)Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms (2011)Thompson Sampling for Contextual Bandits with Linear Payoffs (2012)Collaborative Filtering Bandits (2016)Bandit Processes and Dynamic Allocation Indices (1979)Optimistic bayesian sampling in contextual-bandit problems (2012)KULLBACK-LEIBLER UPPER CONFIDENCE BOUNDS FOR OPTIMAL SEQUENTIAL ALLOCATION (2013)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)Leveraging Side Observations in Stochastic Bandits (2012)Sequential Learning for Multi-Channel Wireless Network Monitoring With Channel Switching Costs (2014)Using confidence bounds for exploitation-exploration trade-offs (2003)Contextual Bandits in a Collaborative Environment (2016)Distributed Clustering of Linear Bandits in Peer to Peer Networks (2016)Factorization Bandits for Interactive Recommendation (2017)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Risk-Averse Multi-Armed Bandit Problems Under Mean-Variance Measure (2016)A/B Testing with Fat Tails (2020)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)Prediction, Learning, and Games (2006)Learning to Optimize via Posterior Sampling (2014)Introduction to Multi-Armed Bandits (2019)Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis (2012)Intrinsic motivation, curiosity, and learning (2016)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Bandits with unobserved confounders: a causal approach (2015)Normal bandits of unknown means and variances (2017)
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References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 2002The Nonstochastic Multiarmed Bandit Problem2,210 cited
  • 2011Improved Algorithms for Linear Stochastic Bandits860 cited
  • 2011Contextual Bandits with Linear Payoff Functions599 cited
  • 2009Exploration–exploitation tradeoff using variance estimates in multi-armed bandits571 cited
  • 2011The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond363 cited
  • 2013Bandits With Heavy Tail249 cited
  • 2014Online Clustering of Bandits164 cited
  • 2007Tuning Bandit Algorithms in Stochastic Environments158 cited
  • 2012The best of both worlds: stochastic and adversarial bandits144 cited
  • 2017From Ads to Interventions: Contextual Bandits in Mobile Health130 cited
  • 2008Mortal Multi-Armed Bandits123 cited
  • 2013Automatic ad format selection via contextual bandits111 cited
  • 2018Stochastic bandits robust to adversarial corruptions111 cited
  • 2014One Practical Algorithm for Both Stochastic and Adversarial Bandits74 cited
  • 2016On Context-Dependent Clustering of Bandits

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