Jieming Mao (毛杰明)

Publications:

2024:

• Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency

with Yuan Deng, Vahab Mirrokni, Hanrui Zhang and Song Zuo. NeurIPS 2024

• Efficiency of the First-Price Auction in the Autobidding World

with Yuan Deng, Vahab Mirrokni, Hanrui Zhang and Song Zuo. NeurIPS 2024 [arXiv]

• Optimal Mechanisms for a Value Maximizer: The Futility of Screening Targets

with Santiago Balseiro, Yuan Deng, Vahab Mirrokni and Song Zuo. EC 2024 [ssrn]

• Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study 

with Yuan Deng, Vahab Mirrokni, Yifeng Teng and Song Zuo. TheWebConf 2024 [arXiv]

• Efficiency of the Generalized Second-Price Auction for Value Maximizers

with Yuan Deng, Mohammad Mahdian, Vahab Mirrokni, Hanrui Zhang and Song Zuo. TheWebConf 2024 [arXiv]

2023:

• Regret Minimization with Noisy Observations

with Mohammad Mahdian and Kangning Wang. EC 2023 [arXiv]

• Autobidding Auctions in the Presence of User Costs

with Yuan Deng, Vahab Mirrokni, Hanrui Zhang and Song Zuo. TheWebConf 2023 [arXiv]

• Differentially Private Continual Releases of Streaming Frequency Moment Estimations

with Alessandro Epasto, Andres Munoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, and Peilin Zhong  ITCS 2023 [arXiv] 

• Optimal Pricing Schemes for an Impatient Buyer

with Yuan Deng, Balasubramanian Sivan and Kangning Wang. SODA 2023 [arXiv] 

2022:

• Optimal Mechanism for Value Maximizers with Budget Constraints via Target Clipping

with Santiago Balseiro, Yuan Deng, Vahab Mirrokni and Song Zuo. EC 2022 [ssrn]

• Approximately Efficient Bilateral Trade

with Yuan Deng, Balasubramanian Sivan and Kangning Wang. STOC 2022 [arXiv] 

• Shuffle Private Stochastic Convex Optimization

with Albert Cheu, Matthew Joseph and Binghui Peng. ICLR 2022 [arXiv]

• Interactive Communication in Bilateral Trade

with Renato Paes Leme and Kangning Wang. ITCS 2022 [arXiv]

2021:

• Robust Auction Design in the Auto-bidding World

with Santiago Balseiro, Yuan Deng, Vahab Mirrokni and Song Zuo. NeurIPS 2021 [arXiv]

• Welfare-maximizing Guaranteed Dashboard Mechanisms

with Yuan Deng, Jason Hartline and Balasubramanian Sivan. EC 2021 [ssrn]

• The Landscape of Aubobidding Auctions: Value versus Utility Maximization

with Santiago Balseiro, Yuan Deng, Vahab Mirrokni and Song Zuo. EC 2021 [ssrn]

• Towards Efficient Auctions in an Auto-Bidding World

with Yuan Deng, Vahab Mirrokni and Song Zuo. TheWebConf 2021 [arXiv]

• Connecting Robust Shuffle Privacy and Pan-Privacy

with Victor Balcer, Albert Cheu and Matthew Joseph. SODA 2021 [arXiv]

2020:

• Smoothly Bounding User Contributions in Differential Privacy

with Alessandro Epasto, Mohammad Mahdian, Vahab Mirrokni and Lijie Ren. NeurIPS 2020

• Pan-Private Uniformity Testing

with Kareem Amin and Matthew Joseph. PriML 2019, COLT 2020 [arXiv]

• Incentivizing Exploration with Selective Data Disclosure

with Nicole Immorlica, Aleksandrs Slivkins and Zhiwei Steven Wu. EC 2020 [arXiv]

• Exponential Separations in Local Differential Privacy Through Communication Complexity 

with Matthew Joseph and Aaron Roth. SODA 2020, invited to TALG Special Issue for SODA 2020 [arXiv]

2019:

• Locally Private Gaussian Estimation

with Matthew Joseph, Janardhan Kulkarni and Zhiwei Steven Wu. NeurIPS 2019 [arXiv]

• The Role of Interactivity in Local Differential Privacy

with Matthew Joseph, Seth Neel and Aaron Roth. FOCS 2019 [arXiv]

• Differentially Private Fair Learning

with Matthew Jagielski, Michael Kearns, Alina Oprea,  Aaron Roth, Saeed Sharifi-Malvajerdi and Jonathan Ullman. ICML 2019 [arXiv]

• Multi-armed Bandit Problems with Strategic Arms

with Mark Braverman, Jon Schneider and Matthew Weinberg. COLT 2019 [arXiv]

• Sorted Top-k in Rounds

with Mark Braverman and Yuval Peres. COLT 2019 [arXiv]

• Bayesian Exploration with Heterogeneous Agents

with Nicole Immorlica, Aleksandrs Slivkins and Zhiwei Steven Wu. TheWebConf 2019 [arXiv]

• Diversity and Exploration in Social Learning

with Nicole Immorlica and Christos Tzamos. TheWebConf 2019 [arXiv]

2018:

• Contextual Pricing for Lipschitz Buyers

with Renato Paes Leme and Jon Schneider. NeurIPS 2018 [link]

• Combinatorial Assortment Optimization

with Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis and Christos Tzamos. WINE 2018 [arXiv]

• Selling to a No-Regret Buyer

with Mark Braverman, Jon Schneider and Matthew Weinberg. EC 2018 [arXiv] 

Best Full Paper Award and Best Paper with a Student Lead Author

• A Nearly Instance Optimal Algorithm for Top-k Ranking under the Multinomial Logit Model

with Xi Chen and Yuanzhi Li. SODA 2018 [arXiv]

• On Simultaneous Two-player Combinatorial Auctions

with Mark Braverman and Matthew Weinberg. SODA 2018 [arXiv]

2017 and before:

• Competitive Analysis of the Top-K Ranking Problem

with Xi Chen, Sivakanth Gopi and Jon Schneider. SODA 2017 [arXiv]

• Parallel Algoirithms for Select and Partition with Noisy Comparisons

with Mark Braverman and Matthew Weinberg. STOC 2016 [arXiv]

• Coding for Interactive Communication Correcting Insertions and Deletions

with Mark Braverman, Ran Gelles and Rafail Ostrovsky. ICALP 2016 [arXiv]

• Interpolating Between Truthful and Non-truthful Mechanisms for Combinatorial Auctions

with Mark Braverman and Matthew Weinberg. SODA 2016 [arXiv]

• Near-optimal Bounds on Bounded-round Quantum Communication Complexity of Disjointness

with Mark Braverman, Ankit Garg, Young Kun Ko and Dave Touchette. FOCS 2015, QIP 2016 [ECCC]

• Simulating Noisy Channel Interaction

with Mark Braverman. ITCS 2015 [ECCC]

• Tighter Relations Between Sensitivity and Other Complexity Measures

with Andris Ambainis, Mohammad Bavarian, Yihan Gao, Xiaoming Sun and Song Zuo. ICALP 2014 [ECCC]

• On the Sensitivity Complexity of Bipartite Graph Properties

with Yihan Gao, Xiaoming Sun and Song Zuo. Theor. Comput. Sci. 468: 83-91 (2013)