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Publication search results
found 98 matches
- 2024
- Ting Wang, Yuxiang Deng, Jiawei Mao, Mingsong Chen, Gang Liu, Jieming Di, Keqin Li:
Towards Intelligent Adaptive Edge Caching Using Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 23(10): 9289-9303 (2024) - 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 - 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 - 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) - Gagan Aggarwal, Ashwinkumar Badanidiyuru, Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Gagan Goel, Christopher Liaw, Haihao Lu, Mohammad Mahdian, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Andrés Perlroth, Georgios Piliouras, Jon Schneider, Ariel Schvartzman, Balasubramanian Sivan, Kelly Spendlove, Yifeng Teng, Di Wang, Hanrui Zhang, Mingfei Zhao, Wennan Zhu, Song Zuo:
Auto-bidding and Auctions in Online Advertising: A Survey. CoRR abs/2408.07685 (2024) - Qian Wang, Zhaoyang Bu, Jiaxuan Mao, Wenyu Zhu, Jingya Zhao, Wei Du, Guochao Shi, Min Zhou, Si Chen, Jieming Qu:
Towards reliable respiratory disease diagnosis based on cough sounds and vision transformers. CoRR abs/2408.15667 (2024) - 2023
- Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. AAAI 2023: 4552-4560 - 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 - Mohammad Mahdian, Jieming Mao, Kangning Wang:
Regret Minimization with Noisy Observations. EC 2023: 963 - Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang:
Optimal Pricing Schemes for an Impatient Buyer. SODA 2023: 382-398 - Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo:
Autobidding Auctions in the Presence of User Costs. WWW 2023: 3428-3435 - 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) - Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo:
Autobidding Auctions in the Presence of User Costs. CoRR abs/2302.00377 (2023) - Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR abs/2304.00902 (2023) - 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) - 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) - 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
- Matthew Joseph, Jieming Mao, Aaron Roth:
Exponential Separations in Local Privacy. ACM Trans. Algorithms 18(4): 32:1-32:17 (2022) - Albert Cheu, Matthew Joseph, Jieming Mao, Binghui Peng:
Shuffle Private Stochastic Convex Optimization. ICLR 2022 - Jieming Mao, Renato Paes Leme, Kangning Wang:
Interactive Communication in Bilateral Trade. ITCS 2022: 105:1-105:21 - 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 - Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang:
Approximately efficient bilateral trade. STOC 2022: 718-721 - Mohammad Mahdian, Jieming Mao, Kangning Wang:
Regret Minimization with Noisy Observations. CoRR abs/2207.09435 (2022) - 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
- 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) - Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CIKM 2021: 1243-1252 - Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He:
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CIKM 2021: 1253-1262 - Ting Wang, Jiawei Mao, Mingsong Chen, Gang Liu, Jieming Di, Shui Yu:
ICE: Intelligent Caching at the Edge. GLOBECOM 2021: 1-6 - Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo:
Robust Auction Design in the Auto-bidding World. NeurIPS 2021: 17777-17788 - 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
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