Jieming Mao

Most-cited papers

Differentially Private Fair Learning
Matthew Jagielski, Michael Kearns, Jieming Mao, Alina Oprea +3 more
2018International Conference on Machine Learning176 citations
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Selling to a No-Regret Buyer
M. Braverman, Jieming Mao, Jon Schneider, M. Weinberg
2017ACM Conference on Economics and Computation114 citations Open access
Semantic Scholar
Towards Efficient Auctions in an Auto-bidding World
Yuan Deng, Jieming Mao, V. Mirrokni, Song Zuo
2021The Web Conference102 citations Open access
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Robust Auction Design in the Auto-bidding World
S. Balseiro, Yuan Deng, Jieming Mao, V. Mirrokni +1 more
2021Neural Information Processing Systems96 citations
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The Landscape of Auto-bidding Auctions: Value versus Utility Maximization
S. Balseiro, Yuan Deng, Jieming Mao, V. Mirrokni +1 more
2021ACM Conference on Economics and Computation80 citations Open access
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The Role of Interactivity in Local Differential Privacy
Matthew Joseph, Jieming Mao, Seth Neel, Aaron Roth
2019IEEE Annual Symposium on Foundations of Computer Science75 citations Open access
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Auto-Bidding and Auctions in Online Advertising: A Survey
Gagan Aggarwal, Ashwinkumar Badanidiyuru, S. Balseiro, Kshipra Bhawalkar +22 more
2024Sigecom Exchanges73 citations Open access
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Parallel algorithms for select and partition with noisy comparisons
M. Braverman, Jieming Mao, S. M. Weinberg
2016Symposium on the Theory of Computing65 citations Open access
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Contextual Pricing for Lipschitz Buyers
Jieming Mao, R. P. Leme, Jon Schneider
2018Neural Information Processing Systems56 citations
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Coding for Interactive Communication Correcting Insertions and Deletions
M. Braverman, R. Gelles, Jieming Mao, R. Ostrovsky
2015IEEE Transactions on Information Theory52 citations Open access
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Incentivizing Exploration with Selective Data Disclosure
N. Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2018ACM Conference on Economics and Computation48 citations Open access
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Connecting Robust Shuffle Privacy and Pan-Privacy
Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao
2020ACM-SIAM Symposium on Discrete Algorithms47 citations Open access
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Approximately efficient bilateral trade
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kang-Ning Wang
2021Symposium on the Theory of Computing46 citations Open access
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A Nearly Instance Optimal Algorithm for Top-k Ranking under the Multinomial Logit Model
Xi Chen, Yuanzhi Li, Jieming Mao
2017ACM-SIAM Symposium on Discrete Algorithms46 citations
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Efficiency of the First-Price Auction in the Autobidding World
Yuan Deng, Jieming Mao, V. Mirrokni, Hanrui Zhang +1 more
2022Neural Information Processing Systems43 citations Open access
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Locally Private Gaussian Estimation
Matthew Joseph, Janardhan Kulkarni, Jieming Mao, Zhiwei Steven Wu
2018Neural Information Processing Systems41 citations
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Differentially Private Continual Releases of Streaming Frequency Moment Estimations
Alessandro Epasto, Jieming Mao, Andrés Muñoz Medina, V. Mirrokni +2 more
2023Information Technology Convergence and Services40 citations Open access
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Near-Optimal Bounds on Bounded-Round Quantum Communication Complexity of Disjointness
M. Braverman, A. Garg, Young-Kun Ko, Jieming Mao +1 more
2015IEEE Annual Symposium on Foundations of Computer Science40 citations Open access
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Competitive analysis of the top-K ranking problem
Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
2016ACM-SIAM Symposium on Discrete Algorithms38 citations
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Multi-armed Bandit Problems with Strategic Arms
M. Braverman, Jieming Mao, Jon Schneider, S. Weinberg
2017Annual Conference Computational Learning Theory35 citations
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Bayesian Exploration with Heterogeneous Agents
N. Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2019The Web Conference30 citations Open access
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Shuffle Private Stochastic Convex Optimization
Albert Cheu, Matthew Joseph, Jieming Mao, Binghui Peng
2021International Conference on Learning Representations29 citations
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Tighter Relations between Sensitivity and Other Complexity Measures
A. Ambainis, Mohammad Bavarian, Yi-Han Gao, Jieming Mao +2 more
2014International Colloquium on Automata, Languages and Programming28 citations
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Optimal Mechanisms for Value Maximizers with Budget Constraints via Target Clipping
S. Balseiro, Yuan Deng, Jieming Mao, V. Mirrokni +1 more
2022ACM Conference on Economics and Computation27 citations
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Pan-Private Uniformity Testing
Kareem Amin, Matthew Joseph, Jieming Mao
2019Annual Conference Computational Learning Theory25 citations
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Smoothly Bounding User Contributions in Differential Privacy
Alessandro Epasto, Mohammad Mahdian, Jieming Mao, V. Mirrokni +1 more
2020Neural Information Processing Systems19 citations
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Efficiency of the Generalized Second-Price Auction for Value Maximizers
Yuan Deng, M. Mahdian, Jieming Mao, V. Mirrokni +2 more
2023The Web Conference18 citations Open access
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Combinatorial Assortment Optimization
N. Immorlica, Brendan Lucier, Jieming Mao, Vasilis Syrgkanis +1 more
2017Workshop on Internet and Network Economics14 citations Open access
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Interactive Communication in Bilateral Trade
Jieming Mao, R. P. Leme, Kang-Ning Wang
2021Information Technology Convergence and Services12 citations
Semantic Scholar
Sorted Top-k in Rounds
M. Braverman, Jieming Mao, Y. Peres
2019Annual Conference Computational Learning Theory12 citations
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Optimal Mechanisms for a Value Maximizer: The Futility of Screening Targets
S. Balseiro, Yuan Deng, Jieming Mao, V. Mirrokni +1 more
2024ACM Conference on Economics and Computation11 citations
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Exponential Separations in Local Differential Privacy Through Communication Complexity
Matthew Joseph, Jieming Mao, Aaron Roth
2019ACM-SIAM Symposium on Discrete Algorithms11 citations Open access
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Interpolating Between Truthful and non-Truthful Mechanisms for Combinatorial Auctions
M. Braverman, Jieming Mao, S. Weinberg
2015ACM-SIAM Symposium on Discrete Algorithms11 citations Open access
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Autobidding Auctions in the Presence of User Costs
Yuan Deng, Jieming Mao, V. Mirrokni, Hanrui Zhang +1 more
2023The Web Conference10 citations Open access
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Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study
Yuan Deng, Jieming Mao, V. Mirrokni, Yifeng Teng +1 more
2023The Web Conference7 citations Open access
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Incentivizing Exploration with Unbiased Histories
N. Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2018arXiv.org7 citations
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Optimal Instance Adaptive Algorithm for the Top- $K$ Ranking Problem
Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
2018IEEE Transactions on Information Theory6 citations
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Simulating Noisy Channel Interaction
M. Braverman, Jieming Mao
2014Electron. Colloquium Comput. Complex.6 citations Open access
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On the sensitivity complexity of bipartite graph properties
Yi-Han Gao, Jieming Mao, Xiao-Ming Sun, Song Zuo
2013Theoretical Computer Science5 citations Open access
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Diversity and Exploration in Social Learning
N. Immorlica, Jieming Mao, Christos Tzamos
2019The Web Conference3 citations Open access
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New upper bound on block sensitivity and certificate complexity in terms of sensitivity
A. Ambainis, Yi-Han Gao, Jieming Mao, Xiao-Ming Sun +1 more
2013arXiv.org3 citations
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Regret Minimization with Noisy Observations
Mohammad Mahdian, Jieming Mao, Kang-Ning Wang
2022ACM Conference on Economics and Computation2 citations Open access
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Exponential Separations in Local Privacy
Matthew Joseph, Jieming Mao, Aaron Roth
2022ACM Trans. Algorithms2 citations
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Optimal Pricing Schemes for an Impatient Buyer
Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kang-Ning Wang
2021ACM-SIAM Symposium on Discrete Algorithms2 citations Open access
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Learning across Data Owners with Joint Differential Privacy
Yangsibo Huang, Haotian Jiang, Daogao Liu, Mohammad Mahdian +2 more
2023arXiv.org1 citations Open access
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Welfare-maximizing Guaranteed Dashboard Mechanisms
Yuan Deng, Jason D. Hartline, Jieming Mao, Balasubramanian Sivan
2021ACM Conference on Economics and Computation1 citations
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Algorithms in Strategic or Noisy Environments
Jieming Mao
20180 citations
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COS 511 : Theoretical Machine Learning
Jieming Mao
20140 citations
Semantic Scholar