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The Price of Differential Privacy For Online Learning
9 references·1 citing·35 second hop
The Price of Differential Privacy For Online Learning (2017)The Price of Differential Privacy For Onl…Introduction to Online Convex Optimization (2016)Introduction to Online Convex…Algorithms for Differentially Private Multi-Armed Bandits (2016)Algorithms for Differentially…Towards minimax policies for online linear optimization with bandit feedback (2012)Towards minimax policies for …Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Regret Analysis of Stochastic…Interior-Point Methods for Full-Information and Bandit Online Learning (2012)Interior-Point Methods for Fu…Online Learning and Online Convex Optimization (2011)Online Learning and Online Co…Adaptive Online Prediction by Following the Perturbed Leader (2005)Adaptive Online Prediction by…Efficient algorithms for online decision problems (2004)Efficient algorithms for onli…The Nonstochastic Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed …Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits (2022)Privacy-Preserving Communicat…A Stochastic Approximation Method (1951)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Introduction to Online Convex Optimization (2016)Some aspects of the sequential design of experiments (1952)Big Data Deep Learning: Challenges and Perspectives (2014)A survey of machine learning for big data processing (2016)A survey on deep learning for big data (2017)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Simple Adaptive Procedure Leading to Correlated Equilibrium (2000)Online convex programming and generalized infinitesimal gradient ascent (2003)Minimax policies for adversarial and stochastic bandits (2004)Thompson Sampling for Contextual Bandits with Linear Payoffs (2012)An Information-Theoretic Approach to Minimax Regret in Partial Monitoring (2019)How to use expert advice (1997)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)A parameter-free hedging algorithm (2009)A new understanding of prediction markets via no-regret learning (2010)Hedging structured concepts (2010)Contributions to the theory of games. (1960)Online Learning and Online Convex Optimization (2012)The Pricing of Options and Corporate Liabilities (1973)An Online Convex Optimization Approach to Proactive Network Resource Allocation (2017)A Marketplace for Data (2019)Introduction to Multi-Armed Bandits (2019)Theory of games and economic behavior (2019)Optimal Adaptive Policies for Sequential Allocation Problems (1996)Differentially-Private Federated Linear Bandits (2020)Federated Recommendation System via Differential Privacy (2020)Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit (2016)Federated Multi-Armed Bandits (2021)Volumetric Spanners: an Efficient Exploration Basis for Learning (2013)The Many Faces of Exponential Weights in Online Learning (2018)Bandit Algorithms (2020)
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References

  • 2002The Nonstochastic Multiarmed Bandit Problem2,229 cited
  • 2012Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems1,483 cited
  • 2011Online Learning and Online Convex Optimization1,170 cited
  • 2016Introduction to Online Convex Optimization893 cited
  • 2004Efficient algorithms for online decision problems601 cited
  • 2005Adaptive Online Prediction by Following the Perturbed Leader107 cited
  • 2012Towards minimax policies for online linear optimization with bandit feedback86 cited
  • 2012Interior-Point Methods for Full-Information and Bandit Online Learning85 cited
  • 2016Algorithms for Differentially Private Multi-Armed Bandits77 cited

Cited by

  • 2022Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits30 cited

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