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Adaptive algorithms for online convex optimization with long-term constraints
9 references·6 citing·27 second hop
Adaptive algorithms for online convex optimization with long-term constraints (2016)Adaptive algorithms for online convex opt…Bandits with Knapsacks (2013)Bandits with KnapsacksProjection-free Online Learning (2012)Projection-free Online Learni…Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints (2011)Trading Regret for Efficiency…Online Learning and Online Convex Optimization (2011)Online Learning and Online Co…Adaptive Bound Optimization for Online Convex Optimization (2010)Adaptive Bound Optimization f…Online linear optimization and adaptive routing (2007)Online linear optimization an…Logarithmic regret algorithms for online convex optimization (2007)Logarithmic regret algorithms…Prediction, Learning, and Games (2006)Prediction, Learning, and Gam…Online convex programming and generalized infinitesimal gradient ascent (2003)Online convex programming and…Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization (2022)Regret and Cumulative Constra…Fairness-Aware Online Meta-learning (2021)Fairness-Aware Online Meta-le…Distributed Online Optimization With Long-Term Constraints (2021)Distributed Online Optimizati…Distributed Online Linear Regressions (2020)Distributed Online Linear Reg…Safety-Aware Algorithms for Adversarial Contextual Bandit. (2017)Safety-Aware Algorithms for A…Online Convex Optimization with Time-Varying Constraints (2017)Online Convex Optimization wi…Efficient algorithms for online decision problems (2004)Normalized Online Learning (2013)A generalized online mirror descent with applications to classification and regression (2014)Online Learning: A Modern Introduction Using Convex Optimization (2019)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Theory of games and economic behavior (2019)The Nonstochastic Multiarmed Bandit Problem (2002)Multi-armed bandits with application to 5G small cells (2016)Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit (2016)Some aspects of the sequential design of experiments (1952)Introduction to Online Convex Optimization (2016)Introduction to Online Convex Optimization (2016)A general approach for predicting the behavior of the Supreme Court of the United States (2017)The Theory of Learning in Games (1998)Ad click prediction (2013)Online convex optimization in the bandit setting: gradient descent without a gradient (2004)Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity (2018)Online Learning and Online Convex Optimization (2012)Bandit Convex Optimization for Scalable and Dynamic IoT Management (2018)Online Convex Optimization With Time-Varying Constraints and Bandit Feedback (2018)Distributed Bandit Online Convex Optimization With Time-Varying Coupled Inequality Constraints (2020)Bandits with concave rewards and convex knapsacks (2014)Learning in Repeated Auctions with Budgets: Regret Minimization and Equilibrium (2017)Bandits with Knapsacks (2018)Non-Stationary Stochastic Optimization (2015)
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References

  • 2006Prediction, Learning, and Games3,176 cited
  • 2003Online convex programming and generalized infinitesimal gradient ascent1,733 cited
  • 2011Online Learning and Online Convex Optimization1,095 cited
  • 2007Logarithmic regret algorithms for online convex optimization836 cited
  • 2010Adaptive Bound Optimization for Online Convex Optimization228 cited
  • 2013Bandits with Knapsacks211 cited
  • 2007Online linear optimization and adaptive routing177 cited
  • 2011Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints168 cited
  • 2012Projection-free Online Learning140 cited

Cited by

  • 2021Distributed Online Optimization With Long-Term Constraints81 cited
  • 2017Online Convex Optimization with Time-Varying Constraints69 cited
  • 2020Distributed Online Linear Regressions46 cited
  • 2022Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization45 cited
  • 2017Safety-Aware Algorithms for Adversarial Contextual Bandit.36 cited
  • 2021Fairness-Aware Online Meta-learning28 cited

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