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Online Learning: A Modern Introduction Using Convex Optimization
16 references·1 citing·19 second hop
Online Learning: A Modern Introduction Using Convex Optimization (2019)Online Learning: A Modern Introduction Us…Ad click prediction (2013)Ad click predictionRegret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Regret Analysis of Stochastic…Adaptive Bound Optimization for Online Convex Optimization (2010)Adaptive Bound Optimization f…The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information (2007)The Epoch-Greedy Algorithm fo…Online Learning: Theory, Algorithms, and Applications (2007)Online Learning: Theory, Algo…Prediction, Learning, and Games (2006)Prediction, Learning, and Gam…Minimax policies for adversarial and stochastic bandits (2004)Minimax policies for adversar…Online convex programming and generalized infinitesimal gradient ascent (2003)Online convex programming and…The Nonstochastic Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed …Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions (2001)Relative Loss Bounds for On-L…Competitive On‐line Statistics (2001)Competitive On‐line StatisticsExponentiated Gradient versus Gradient Descent for Linear Predictors (1997)Exponentiated Gradient versus…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Adaptive Treatment Allocation and the Multi-Armed Bandit Problem (1987)Adaptive Treatment Allocation…Some aspects of the sequential design of experiments (1952)Some aspects of the sequentia…Answering the Queen: Machine Learning and Financial Crises (2020)Answering the Queen: Machine …Online Learning and Online Convex Optimization (2011)Online Learning and Online Convex Optimization (2012)Theory of games and economic behavior (2019)A Stochastic Approximation Method (1951)Bandit Processes and Dynamic Allocation Indices (1979)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)Parametric Bandits: The Generalized Linear Case (2010)Online Decision Making with High-Dimensional Covariates (2019)Survey on Applications of Multi-Armed and Contextual Bandits (2020)The Theory of Learning in Games (1998)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Introduction to Online Convex Optimization (2016)Introduction to Online Convex Optimization (2016)Introduction to Multi-Armed Bandits (2019)Online convex optimization in the bandit setting: gradient descent without a gradient (2004)The Operational Value of Social Media Information (2015)Real-Time Bidding by Reinforcement Learning in Display Advertising (2017)Targeting and Privacy in Mobile Advertising (2018)
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References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 2006Prediction, Learning, and Games3,176 cited
  • 2002The Nonstochastic Multiarmed Bandit Problem2,210 cited
  • 1952Some aspects of the sequential design of experiments2,183 cited
  • 2003Online convex programming and generalized infinitesimal gradient ascent1,733 cited
  • 2012Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems1,410 cited
  • 2013Ad click prediction870 cited
  • 1997Exponentiated Gradient versus Gradient Descent for Linear Predictors856 cited
  • 2007The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information426 cited
  • 2004Minimax policies for adversarial and stochastic bandits330 cited
  • 2001Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions297 cited
  • 2007Online Learning: Theory, Algorithms, and Applications297 cited
  • 1987Adaptive Treatment Allocation and the Multi-Armed Bandit Problem279 cited
  • 2010Adaptive Bound Optimization for Online Convex Optimization228 cited

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  • 2001Competitive On‐line Statistics226 cited
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    • 2020Answering the Queen: Machine Learning and Financial Crises42 cited