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Mohammad Mahdian
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Publications
- 2024
[j36]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. SIGecom Exch. 22(1): 159-183 (2024)
[c87]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
[i19]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)- 2023
[j35]Santiago R. Balseiro
, Negin Golrezaei
, Mohammad Mahdian
, Vahab Mirrokni, Jon Schneider:
Contextual Bandits with Cross-Learning. Math. Oper. Res. 48(3): 1607-1629 (2023)
[c86]Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni:
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees. ICML 2023: 14353-14375
[i18]Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni:
Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees. CoRR abs/2302.00037 (2023)
[i17]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)
[i16]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)- 2022
[c84]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Peilin Zhong:
Massively Parallel and Dynamic Algorithms for Minimum Size Clustering. SODA 2022: 1613-1660
[c83]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Peilin Zhong:
Improved Sliding Window Algorithms for Clustering and Coverage via Bucketing-Based Sketches. SODA 2022: 3005-3042- 2021
[j34]Santiago R. Balseiro
, Anthony Kim
, Mohammad Mahdian
, Vahab S. Mirrokni:
Budget-Management Strategies in Repeated Auctions. Oper. Res. 69(3): 859-876 (2021)
[i12]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Peilin Zhong:
Massively Parallel and Dynamic Algorithms for Minimum Size Clustering. CoRR abs/2106.02685 (2021)
[i11]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Peilin Zhong:
Improved Sliding Window Algorithms for Clustering and Coverage via Bucketing-Based Sketches. CoRR abs/2110.15533 (2021)- 2020
[c76]Alessandro Epasto, Mohammad Mahdian, Jieming Mao, Vahab S. Mirrokni, Lijie Ren:
Smoothly Bounding User Contributions in Differential Privacy. NeurIPS 2020
[c75]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Emmanouil Zampetakis
:
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions. NeurIPS 2020
[c74]Santiago R. Balseiro, Anthony Kim
, Mohammad Mahdian, Vahab S. Mirrokni:
Budget-Constrained Incentive Compatibility for Stationary Mechanisms. EC 2020: 607-608
[i8]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Manolis Zampetakis:
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions. CoRR abs/2010.11450 (2020)- 2019
[c72]Santiago R. Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab S. Mirrokni, Jon Schneider:
Contextual Bandits with Cross-Learning. NeurIPS 2019: 9676-9685- 2018
[c69]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Song Zuo:
Incentive-Aware Learning for Large Markets. WWW 2018: 1369-1378
[i3]Santiago R. Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab S. Mirrokni, Jon Schneider:
Contextual Bandits with Cross-learning. CoRR abs/1809.09582 (2018)- 2017
[c67]Santiago R. Balseiro, Anthony Kim
, Mohammad Mahdian, Vahab S. Mirrokni:
Budget Management Strategies in Repeated Auctions. WWW 2017: 15-23- 2014
[c61]Piotr Indyk, Sepideh Mahabadi, Mohammad Mahdian, Vahab S. Mirrokni:
Composable core-sets for diversity and coverage maximization. PODS 2014: 100-108- 2010
[j19]Li (Erran) Li, Mohammad Mahdian, Vahab S. Mirrokni:
Secure Overlay Network Design. Algorithmica 57(1): 82-96 (2010)- 2008
[j13]Nicole Immorlica, Mohammad Mahdian, Vahab S. Mirrokni:
Limitations of cross-monotonic cost-sharing schemes. ACM Trans. Algorithms 4(2): 24:1-24:25 (2008)- 2007
[c33]Uriel Feige, Kamal Jain, Mohammad Mahdian, Vahab S. Mirrokni:
Robust Combinatorial Optimization with Exponential Scenarios. IPCO 2007: 439-453- 2006
[c25]Li (Erran) Li, Mohammad Mahdian, Vahab S. Mirrokni:
Secure Overlay Network Design. AAIM 2006: 354-366- 2005
[c16]Nicole Immorlica, Mohammad Mahdian, Vahab S. Mirrokni:
Limitations of cross-monotonic cost sharing schemes. SODA 2005: 602-611
[c15]Nicole Immorlica, Mohammad Mahdian, Vahab S. Mirrokni:
Cycle Cover with Short Cycles. STACS 2005: 641-653- 2003
[j6]Mohammad Taghi Hajiaghayi, Mohammad Mahdian, Vahab S. Mirrokni:
The facility location problem with general cost functions. Networks 42(1): 42-47 (2003)- 2002
[j4]Mohammad Ghodsi, Mohammad Taghi Hajiaghayi, Mohammad Mahdian, Vahab S. Mirrokni:
Length-constrained path-matchings in graphs. Networks 39(4): 210-215 (2002)

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last updated on 2026-02-20 23:21 CET by the dblp team
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