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Jieming Mao
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2020 – today
- 2024
- [c38]Yuan Deng
, Mohammad Mahdian
, Jieming Mao
, Vahab Mirrokni
, Hanrui Zhang
, Song Zuo
:
Efficiency of the Generalized Second-Price Auction for Value Maximizers. WWW 2024: 46-56 - [c37]Yuan Deng
, Jieming Mao
, Vahab Mirrokni
, Yifeng Teng
, Song Zuo
:
Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study. WWW 2024: 256-266 - [i40]Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong:
Retraining with Predicted Hard Labels Provably Increases Model Accuracy. CoRR abs/2406.11206 (2024) - 2023
- [c36]Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong:
Differentially Private Continual Releases of Streaming Frequency Moment Estimations. ITCS 2023: 48:1-48:24 - [c35]Mohammad Mahdian
, Jieming Mao
, Kangning Wang
:
Regret Minimization with Noisy Observations. EC 2023: 963 - [c34]Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang:
Optimal Pricing Schemes for an Impatient Buyer. SODA 2023: 382-398 - [c33]Yuan Deng
, Jieming Mao
, Vahab Mirrokni
, Hanrui Zhang
, Song Zuo
:
Autobidding Auctions in the Presence of User Costs. WWW 2023: 3428-3435 - [i39]Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong:
Differentially Private Continual Releases of Streaming Frequency Moment Estimations. CoRR abs/2301.05605 (2023) - [i38]Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo:
Autobidding Auctions in the Presence of User Costs. CoRR abs/2302.00377 (2023) - [i37]Yangsibo Huang, Haotian Jiang, Daogao Liu, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni:
Learning across Data Owners with Joint Differential Privacy. CoRR abs/2305.15723 (2023) - [i36]Yuan Deng, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo:
Efficiency of the Generalized Second-Price Auction for Value Maximizers. CoRR abs/2310.03105 (2023) - [i35]Yuan Deng, Jieming Mao, Vahab Mirrokni, Yifeng Teng, Song Zuo:
Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study. CoRR abs/2311.10679 (2023) - 2022
- [j6]Matthew Joseph
, Jieming Mao, Aaron Roth
:
Exponential Separations in Local Privacy. ACM Trans. Algorithms 18(4): 32:1-32:17 (2022) - [c32]Albert Cheu, Matthew Joseph, Jieming Mao, Binghui Peng:
Shuffle Private Stochastic Convex Optimization. ICLR 2022 - [c31]Jieming Mao, Renato Paes Leme, Kangning Wang
:
Interactive Communication in Bilateral Trade. ITCS 2022: 105:1-105:21 - [c30]Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo:
Optimal Mechanisms for Value Maximizers with Budget Constraints via Target Clipping. EC 2022: 475 - [c29]Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang
:
Approximately efficient bilateral trade. STOC 2022: 718-721 - [i34]Mohammad Mahdian, Jieming Mao, Kangning Wang
:
Regret Minimization with Noisy Observations. CoRR abs/2207.09435 (2022) - [i33]Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo:
Efficiency of the First-Price Auction in the Autobidding World. CoRR abs/2208.10650 (2022) - 2021
- [j5]Nicole Immorlica, Brendan Lucier, Jieming Mao, Vasilis Syrgkanis, Christos Tzamos
:
Combinatorial Assortment Optimization. ACM Trans. Economics and Comput. 9(1): 5:1-5:34 (2021) - [c28]Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo:
Robust Auction Design in the Auto-bidding World. NeurIPS 2021: 17777-17788 - [c27]Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo:
The Landscape of Auto-bidding Auctions: Value versus Utility Maximization. EC 2021: 132-133 - [c26]Yuan Deng, Jason D. Hartline, Jieming Mao, Balasubramanian Sivan:
Welfare-maximizing Guaranteed Dashboard Mechanisms. EC 2021: 370 - [c25]Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao:
Connecting Robust Shuffle Privacy and Pan-Privacy. SODA 2021: 2384-2403 - [c24]Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo:
Towards Efficient Auctions in an Auto-bidding World. WWW 2021: 3965-3973 - [i32]Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo:
Towards Efficient Auctions in an Auto-bidding World. CoRR abs/2103.13356 (2021) - [i31]Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang:
Optimal Pricing Schemes for an Impatient Buyer. CoRR abs/2106.02149 (2021) - [i30]Jieming Mao, Renato Paes Leme, Kangning Wang:
Interactive Communication in Bilateral Trade. CoRR abs/2106.02150 (2021) - [i29]Albert Cheu, Matthew Joseph, Jieming Mao, Binghui Peng:
Shuffle Private Stochastic Convex Optimization. CoRR abs/2106.09805 (2021) - [i28]Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo:
Robust Auction Design in the Auto-bidding World. CoRR abs/2111.02468 (2021) - [i27]Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang:
Approximately Efficient Bilateral Trade. CoRR abs/2111.03611 (2021) - 2020
- [c23]Kareem Amin, Matthew Joseph, Jieming Mao:
Pan-Private Uniformity Testing. COLT 2020: 183-218 - [c22]Alessandro Epasto, Mohammad Mahdian, Jieming Mao, Vahab S. Mirrokni, Lijie Ren:
Smoothly Bounding User Contributions in Differential Privacy. NeurIPS 2020 - [c21]Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu:
Incentivizing Exploration with Selective Data Disclosure. EC 2020: 647-648 - [c20]Matthew Joseph, Jieming Mao, Aaron Roth:
Exponential Separations in Local Differential Privacy. SODA 2020: 515-527 - [i26]Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao:
Connecting Robust Shuffle Privacy and Pan-Privacy. CoRR abs/2004.09481 (2020)
2010 – 2019
- 2019
- [c19]Mark Braverman, Jieming Mao, Yuval Peres:
Sorted Top-k in Rounds. COLT 2019: 342-382 - [c18]Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
:
Multi-armed Bandit Problems with Strategic Arms. COLT 2019: 383-416 - [c17]Matthew Joseph, Jieming Mao, Seth Neel, Aaron Roth
:
The Role of Interactivity in Local Differential Privacy. FOCS 2019: 94-105 - [c16]Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman:
Differentially Private Fair Learning. ICML 2019: 3000-3008 - [c15]Matthew Joseph, Janardhan Kulkarni, Jieming Mao, Zhiwei Steven Wu:
Locally Private Gaussian Estimation. NeurIPS 2019: 2980-2989 - [c14]Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
:
Bayesian Exploration with Heterogeneous Agents. WWW 2019: 751-761 - [c13]Nicole Immorlica, Jieming Mao, Christos Tzamos
:
Diversity and Exploration in Social Learning. WWW 2019: 762-772 - [i25]Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu:
Bayesian Exploration with Heterogeneous Agents. CoRR abs/1902.07119 (2019) - [i24]Matthew Joseph, Jieming Mao, Seth Neel, Aaron Roth:
The Role of Interactivity in Local Differential Privacy. CoRR abs/1904.03564 (2019) - [i23]Nicole Immorlica, Jieming Mao, Christos Tzamos:
Diversity and Exploration in Social Learning. CoRR abs/1905.05213 (2019) - [i22]Mark Braverman, Jieming Mao, Yuval Peres:
Sorted Top-k in Rounds. CoRR abs/1906.05208 (2019) - [i21]Matthew Joseph, Jieming Mao, Aaron Roth:
Exponential Separations in Local Differential Privacy Through Communication Complexity. CoRR abs/1907.00813 (2019) - [i20]Kareem Amin, Matthew Joseph, Jieming Mao:
Pan-Private Uniformity Testing. CoRR abs/1911.01452 (2019) - 2018
- [b1]Jieming Mao:
Algorithms in Strategic or Noisy Environments. Princeton University, USA, 2018 - [j4]Mark Braverman, Ankit Garg, Young Kun-Ko, Jieming Mao, Dave Touchette:
Near-Optimal Bounds on the Bounded-Round Quantum Communication Complexity of Disjointness. SIAM J. Comput. 47(6): 2277-2314 (2018) - [j3]Xi Chen
, Sivakanth Gopi, Jieming Mao
, Jon Schneider:
Optimal Instance Adaptive Algorithm for the Top-K Ranking Problem. IEEE Trans. Inf. Theory 64(9): 6139-6160 (2018) - [c12]Jieming Mao, Renato Paes Leme, Jon Schneider:
Contextual Pricing for Lipschitz Buyers. NeurIPS 2018: 5648-5656 - [c11]Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
:
Selling to a No-Regret Buyer. EC 2018: 523-538 - [c10]Mark Braverman, Jieming Mao, S. Matthew Weinberg
:
On Simultaneous Two-player Combinatorial Auctions. SODA 2018: 2256-2273 - [c9]Xi Chen, Yuanzhi Li, Jieming Mao:
A Nearly Instance Optimal Algorithm for Top-k Ranking under the Multinomial Logit Model. SODA 2018: 2504-2522 - [c8]Nicole Immorlica, Brendan Lucier, Jieming Mao, Vasilis Syrgkanis, Christos Tzamos
:
Combinatorial Assortment Optimization. WINE 2018: 218-231 - [i19]Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu:
Incentivizing Exploration with Unbiased Histories. CoRR abs/1811.06026 (2018) - [i18]Matthew Joseph, Janardhan Kulkarni, Jieming Mao, Zhiwei Steven Wu:
Locally Private Gaussian Estimation. CoRR abs/1811.08382 (2018) - [i17]Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman:
Differentially Private Fair Learning. CoRR abs/1812.02696 (2018) - 2017
- [j2]Mark Braverman, Ran Gelles
, Jieming Mao
, Rafail Ostrovsky:
Coding for Interactive Communication Correcting Insertions and Deletions. IEEE Trans. Inf. Theory 63(10): 6256-6270 (2017) - [c7]Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider:
Competitive analysis of the top-K ranking problem. SODA 2017: 1245-1264 - [i16]Mark Braverman, Jieming Mao, S. Matthew Weinberg:
On Simultaneous Two-player Combinatorial Auctions. CoRR abs/1704.03547 (2017) - [i15]Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg:
Multi-armed Bandit Problems with Strategic Arms. CoRR abs/1706.09060 (2017) - [i14]Xi Chen, Yuanzhi Li, Jieming Mao:
A Nearly Instance Optimal Algorithm for Top-k Ranking under the Multinomial Logit Model. CoRR abs/1707.08238 (2017) - [i13]Nicole Immorlica, Brendan Lucier, Jieming Mao, Vasilis Syrgkanis, Christos Tzamos:
Combinatorial Assortment Optimization. CoRR abs/1711.02601 (2017) - [i12]Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg:
Selling to a No-Regret Buyer. CoRR abs/1711.09176 (2017) - 2016
- [c6]Mark Braverman, Ran Gelles, Jieming Mao, Rafail Ostrovsky:
Coding for Interactive Communication Correcting Insertions and Deletions. ICALP 2016: 61:1-61:14 - [c5]Mark Braverman, Jieming Mao, S. Matthew Weinberg
:
Interpolating Between Truthful and non-Truthful Mechanisms for Combinatorial Auctions. SODA 2016: 1444-1457 - [c4]Mark Braverman, Jieming Mao, S. Matthew Weinberg
:
Parallel algorithms for select and partition with noisy comparisons. STOC 2016: 851-862 - [i11]Mark Braverman, Jieming Mao, S. Matthew Weinberg:
Parallel Algorithms for Select and Partition with Noisy Comparisons. CoRR abs/1603.04941 (2016) - [i10]Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider:
Competitive analysis of the top-K ranking problem. CoRR abs/1605.03933 (2016) - 2015
- [c3]Mark Braverman, Ankit Garg, Young Kun-Ko, Jieming Mao, Dave Touchette:
Near-Optimal Bounds on Bounded-Round Quantum Communication Complexity of Disjointness. FOCS 2015: 773-791 - [c2]Mark Braverman, Jieming Mao:
Simulating Noisy Channel Interaction. ITCS 2015: 21-30 - [i9]Mark Braverman, Ankit Garg, Young Kun-Ko, Jieming Mao, Dave Touchette:
Near-optimal bounds on bounded-round quantum communication complexity of disjointness. CoRR abs/1505.03110 (2015) - [i8]Mark Braverman, Ran Gelles, Jieming Mao, Rafail Ostrovsky:
Coding for interactive communication correcting insertions and deletions. CoRR abs/1508.00514 (2015) - [i7]Mark Braverman, Jieming Mao, S. Matthew Weinberg:
Interpolating Between Truthful and non-Truthful Mechanisms for Combinatorial Auctions. CoRR abs/1511.02831 (2015) - [i6]Mark Braverman, Ankit Garg, Young Kun-Ko, Jieming Mao, Dave Touchette:
Near-optimal bounds on bounded-round quantum communication complexity of disjointness. Electron. Colloquium Comput. Complex. TR15 (2015) - 2014
- [c1]Andris Ambainis, Mohammad Bavarian, Yihan Gao, Jieming Mao, Xiaoming Sun, Song Zuo:
Tighter Relations between Sensitivity and Other Complexity Measures. ICALP (1) 2014: 101-113 - [i5]Mark Braverman, Jieming Mao:
Simulating Noisy Channel Interaction. CoRR abs/1409.4290 (2014) - [i4]Andris Ambainis, Mohammad Bavarian, Yihan Gao, Jieming Mao, Xiaoming Sun, Song Zuo:
Tighter Relations Between Sensitivity and Other Complexity Measures. CoRR abs/1411.3419 (2014) - [i3]Andris Ambainis, Mohammad Bavarian, Yihan Gao, Jieming Mao, Xiaoming Sun, Song Zuo:
Tighter Relations Between Sensitivity and Other Complexity Measures. Electron. Colloquium Comput. Complex. TR14 (2014) - [i2]Mark Braverman, Jieming Mao:
Simulating Noisy Channel Interaction. Electron. Colloquium Comput. Complex. TR14 (2014) - 2013
- [j1]Yihan Gao, Jieming Mao, Xiaoming Sun
, Song Zuo:
On the sensitivity complexity of bipartite graph properties. Theor. Comput. Sci. 468: 83-91 (2013) - [i1]Andris Ambainis, Yihan Gao, Jieming Mao, Xiaoming Sun, Song Zuo:
New upper bound on block sensitivity and certificate complexity in terms of sensitivity. CoRR abs/1306.4466 (2013)
Coauthor Index
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last updated on 2024-08-23 18:36 CEST by the dblp team
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