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Online Learning: Theory, Algorithms, and Applications
9 references·16 citing·34 second hop
Online Learning: Theory, Algorithms, and Applications (2007)Online Learning: Theory, Algorithms, and …Prediction, Learning, and Games (2006)Prediction, Learning, and Gam…Online convex programming and generalized infinitesimal gradient ascent (2003)Online convex programming and…Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions (2001)Relative Loss Bounds for On-L…A Simple Adaptive Procedure Leading to Correlated Equilibrium (2000)A Simple Adaptive Procedure L…How to use expert advice (1997)How to use expert adviceExponentiated 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…Game theory, on-line prediction and boosting (1996)Game theory, on-line predicti…An analog of the minimax theorem for vector payoffs (1956)An analog of the minimax theo…Forecasting the monthly iron ore import of China using a model combining empirical mode decomposition, non-linear autoregressive neural network, and autoregressive integrated moving average (2020)Forecasting the monthly iron …Evolution and impact of bias in human and machine learning algorithm interaction (2020)Evolution and impact of bias …Online Learning: A Modern Introduction Using Convex Optimization (2019)Online Learning: A Modern Int…Online Continuous Submodular Maximization (2018)Online Continuous Submodular …Learning in games with continuous action sets and unknown payoff functions (2018)Learning in games with contin…Scale-free online learning (2017)Scale-free online learningA continuous-time approach to online optimization (2017)A continuous-time approach to…Online learning with adversarial delays (2015)Online learning with adversar…A generalized online mirror descent with applications to classification and regression (2014)A generalized online mirror d…Regret in Online Combinatorial Optimization (2013)Regret in Online Combinatoria…On the Universality of Online Mirror Descent (2011)On the Universality of Online…Introduction to Online Optimization (2011)Introduction to Online Optimi…Hierarchical Knowledge Gradient for Sequential Sampling (2011)Hierarchical Knowledge Gradie…New Adaptive Algorithms for Online Classification (2010)New Adaptive Algorithms for O…Beating the adaptive bandit with high probability (2009)Beating the adaptive bandit w…Mind the Duality Gap: Logarithmic regret algorithms for online optimization (2008)Mind the Duality Gap: Logarit…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Online Learning and Online Convex Optimization (2011)Online Learning and Online Convex Optimization (2012)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Theory of games and economic behavior (2019)Contributions to the theory of games. (1960)The Asymptotic Theory of Extreme Order Statistics (1990)Tracking the Best Expert (1998)Adaptive Game Playing Using Multiplicative Weights (1999)Efficient algorithms for online decision problems (2004)Theory of Games and Economic Behavior (1945)Universal Portfolios (1991)Subjectivity and correlation in randomized strategies (1974)Correlated Equilibrium as an Expression of Bayesian Rationality (1987)Experience-weighted Attraction Learning in Normal Form Games (1999)Multiagent systems: algorithmic, game-theoretic, and logical foundations (2009)Games and Decisions (2015)The Theory of Learning in Games (1998)Ad click prediction (2013)A Stochastic Approximation Method (1951)Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits (2014)Combinatorial Bandits Revisited (2015)Learning to Optimize via Information-Directed Sampling (2017)Relative Loss Bounds for Multidimensional Regression Problems (2001)A primal-dual perspective of online learning algorithms (2007)Online Convex Optimization in Dynamic Environments (2015)The Nonstochastic Multiarmed Bandit Problem (2002)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Online convex optimization in the bandit setting: gradient descent without a gradient (2004)Introduction to Online Convex Optimization (2016)Introduction to Online Convex Optimization (2016)Regret in the On-Line Decision Problem (1999)Competitive On‐line Statistics (2001)Online learning in online auctions (2004)
this work references cited by second hop

References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 2006Prediction, Learning, and Games3,176 cited
  • 2003Online convex programming and generalized infinitesimal gradient ascent1,733 cited
  • 2000A Simple Adaptive Procedure Leading to Correlated Equilibrium1,089 cited
  • 1997Exponentiated Gradient versus Gradient Descent for Linear Predictors856 cited
  • 1956An analog of the minimax theorem for vector payoffs740 cited
  • 1997How to use expert advice631 cited
  • 1996Game theory, on-line prediction and boosting383 cited
  • 2001Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions297 cited

Cited by

  • 2013Regret in Online Combinatorial Optimization210 cited
  • 2018Learning in games with continuous action sets and unknown payoff functions183 cited
  • 2011On the Universality of Online Mirror Descent139 cited
  • 2020Evolution and impact of bias in human and machine learning algorithm interaction116 cited
  • 2019Online Learning: A Modern Introduction Using Convex Optimization111 cited
  • 2011Introduction to Online Optimization

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108 cited
  • 2011Hierarchical Knowledge Gradient for Sequential Sampling88 cited
  • 2008Mind the Duality Gap: Logarithmic regret algorithms for online optimization84 cited
  • 2020Forecasting the monthly iron ore import of China using a model combining empirical mode decomposition, non-linear autoregressive neural network, and autoregressive integrated moving average75 cited
  • 2009Beating the adaptive bandit with high probability72 cited
  • 2015Online learning with adversarial delays61 cited
  • 2014A generalized online mirror descent with applications to classification and regression54 cited
  • 2018Online Continuous Submodular Maximization50 cited
  • 2017Scale-free online learning48 cited
  • 2010New Adaptive Algorithms for Online Classification46 cited
  • 2017A continuous-time approach to online optimization43 cited