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Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring
8 references·3 citing·38 second hop
Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring (2006)Hannan Consistency in On-Line Learning in…Prediction, Learning, and Games (2006)Prediction, Learning, and Gam…Improved second-order bounds for prediction with expert advice (2006)Improved second-order bounds …Minimizing Regret With Label Efficient Prediction (2005)Minimizing Regret With Label …Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)Gambling in a rigged casino: …A Simple Adaptive Procedure Leading to Correlated Equilibrium (2000)A Simple Adaptive Procedure L…How to use expert advice (1997)How to use expert adviceAn analog of the minimax theorem for vector payoffs (1956)An analog of the minimax theo…Contributions to the Theory of Games (1952)Contributions to the Theory o…Multi-Armed Bandits: Theory and Applications to Online Learning in Networks (2019)Multi-Armed Bandits: Theory a…The Online Loop-free Stochastic Shortest-Path Problem. (2010)The Online Loop-free Stochast…Algorithm Selection as a Bandit Problem with Unbounded Losses (2010)Algorithm Selection as a Band…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)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)Game theory, on-line prediction and boosting (1996)The Nonstochastic Multiarmed Bandit Problem (2002)Extracting certainty from uncertainty: regret bounded by variation in costs (2010)Online Optimization with Gradual Variations (2012)The best of both worlds: stochastic and adversarial bandits (2012)Some aspects of the sequential design of experiments (1952)Data fusion (2009)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)Introduction to Online Convex Optimization (2016)Using confidence bounds for exploitation-exploration trade-offs (2003)Toward a classification of finite partial-monitoring games (2012)Informational confidence bounds for self-normalized averages and applications (2013)Prediction with Limited Advice and Multiarmed Bandits with Paid Observations (2014)Social Choice and Individual Values (1952)Expected stock returns and volatility (1987)Multi-Armed Bandit Allocation Indices. (1990)Online convex optimization in the bandit setting: gradient descent without a gradient (2004)Multi-armed Bandit Algorithms and Empirical Evaluation (2005)k-order additive discrete fuzzy measures and their representation (1997)Estimating Dynamic Models of Imperfect Competition (2007)Green product supply chain contracts considering environmental responsibilities (2018)
this work references cited by second hop

References

  • 2006Prediction, Learning, and Games3,176 cited
  • 1952Contributions to the Theory of Games1,197 cited
  • 2000A Simple Adaptive Procedure Leading to Correlated Equilibrium1,089 cited
  • 2002Gambling in a rigged casino: The adversarial multi-armed bandit problem741 cited
  • 1956An analog of the minimax theorem for vector payoffs740 cited
  • 1997How to use expert advice631 cited
  • 2006Improved second-order bounds for prediction with expert advice154 cited
  • 2005Minimizing Regret With Label Efficient Prediction82 cited

Cited by

  • 2010Algorithm Selection as a Bandit Problem with Unbounded Losses40 cited
  • 2019Multi-Armed Bandits: Theory and Applications to Online Learning in Networks35 cited
  • 2010The Online Loop-free Stochastic Shortest-Path Problem.34 cited

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