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ORCIDAneesh Sharma
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2020 – today
- 2024
[c21]Dongyue Li
, Aneesh Sharma, Hongyang R. Zhang:
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity. KDD 2024: 1542-1553- [i12]Dongyue Li, Aneesh Sharma, Hongyang R. Zhang:
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity. CoRR abs/2409.06091 (2024) - 2023
- [c20]Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang:
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. AISTATS 2023: 6314-6341 - [c19]Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang:
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. KDD 2023: 1213-1222 - [i11]Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang:
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. CoRR abs/2302.04451 (2023) - [i10]Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang:
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. CoRR abs/2306.14009 (2023) - 2022
- [c18]Andrew Stolman, Caleb C. Levy, C. Seshadhri, Aneesh Sharma:
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling. SDM 2022: 388-396 - [i9]Andrew Stolman, Caleb C. Levy, C. Seshadhri, Aneesh Sharma:
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling. CoRR abs/2201.08481 (2022) - 2020
- [j7]C. Seshadhri, Aneesh Sharma, Andrew Stolman, Ashish Goel:
The impossibility of low-rank representations for triangle-rich complex networks. Proc. Natl. Acad. Sci. USA 117(11): 5631-5637 (2020) - [c17]Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel:
An Experimental Study of Structural Diversity in Social Networks. ICWSM 2020: 661-670 - [c16]Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff:
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew. WWW 2020: 2998-3004 - [i8]Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff:
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew. CoRR abs/2003.02972 (2020) - [i7]C. Seshadhri, Aneesh Sharma, Andrew Stolman, Ashish Goel:
The impossibility of low rank representations for triangle-rich complex networks. CoRR abs/2003.12635 (2020)
2010 – 2019
- 2019
- [i6]Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel:
An Experimental Study of Structural Diversity in Social Networks. CoRR abs/1909.03543 (2019) - 2017
- [c15]Aneesh Sharma, C. Seshadhri, Ashish Goel:
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors. WWW 2017: 431-440 - [c14]Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma:
Cascades: A View from Audience. WWW 2017: 587-596 - [c13]Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma:
Detecting Strong Ties Using Network Motifs. WWW (Companion Volume) 2017: 983-992 - [i5]Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma:
Cascades: A view from Audience. CoRR abs/1702.06673 (2017) - [i4]Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma:
Detecting Strong Ties Using Network Motifs. CoRR abs/1702.07390 (2017) - [i3]Aneesh Sharma, C. Seshadhri, Ashish Goel:
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors. CoRR abs/1703.01054 (2017) - 2016
- [j6]Aneesh Sharma, Jerry Jiang, Praveen Bommannavar, Brian Larson, Jimmy Lin:
GraphJet: Real-Time Content Recommendations at Twitter. Proc. VLDB Endow. 9(13): 1281-1292 (2016) - [j5]Chin-Feng Lee, Chi-Yao Weng, Aneesh Sharma:
Steganographic access control in data hiding using run-length encoding and modulo-operations. Secur. Commun. Networks 9(2): 139-148 (2016) - [c12]Jessica Su, Aneesh Sharma, Sharad Goel:
The Effect of Recommendations on Network Structure. WWW 2016: 1157-1167 - 2015
- [j4]Ashish Goel, Pankaj Gupta, John Sirois, Dong Wang, Aneesh Sharma, Siva Gurumurthy:
The Who-To-Follow System at Twitter: Strategy, Algorithms, and Revenue Impact. Interfaces 45(1): 98-107 (2015) - [j3]Kshipra Bhawalkar, Jon M. Kleinberg, Kevin Lewi, Tim Roughgarden, Aneesh Sharma:
Preventing Unraveling in Social Networks: The Anchored k-Core Problem. SIAM J. Discret. Math. 29(3): 1452-1475 (2015) - [c11]Ashish Goel, Kamesh Munagala, Aneesh Sharma, Hongyang Zhang:
A Note on Modeling Retweet Cascades on Twitter. WAW 2015: 119-131 - [e1]Aneesh Sharma, Rakesh Agrawal, Matthias Grossglauser:
Proceedings of the 2015 ACM on Conference on Online Social Networks, COSN 2015, Palo Alto, California, USA, November 2-3, 2015. ACM 2015, ISBN 978-1-4503-3951-3 [contents] - 2014
- [c10]Aneesh Sharma, Camilo Ordonez, Emmanuel G. Collins Jr.:
Robust sampling-based trajectory tracking for autonomous vehicles. SMC 2014: 3446-3451 - [c9]Seth A. Myers, Aneesh Sharma, Pankaj Gupta, Jimmy Lin:
Information network or social network?: the structure of the twitter follow graph. WWW (Companion Volume) 2014: 493-498 - 2013
- [c8]Reza Bosagh Zadeh, Ashish Goel, Kamesh Munagala, Aneesh Sharma:
On the precision of social and information networks. COSN 2013: 63-74 - [c7]Gilad Mishne, Jeff Dalton, Zhenghua Li, Aneesh Sharma, Jimmy Lin:
Fast data in the era of big data: Twitter's real-time related query suggestion architecture. SIGMOD Conference 2013: 1147-1158 - [c6]Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, Reza Zadeh:
WTF: the who to follow service at Twitter. WWW 2013: 505-514 - 2012
- [c5]Kshipra Bhawalkar, Jon M. Kleinberg, Kevin Lewi, Tim Roughgarden, Aneesh Sharma:
Preventing Unraveling in Social Networks: The Anchored k-Core Problem. ICALP (2) 2012: 440-451 - [c4]Oscar Chuy, Emmanuel G. Collins Jr., Damion D. Dunlap, Aneesh Sharma:
Sampling-Based Direct Trajectory Generation Using the Minimum Time Cost Function. ISER 2012: 651-666 - [i2]Gilad Mishne, Jeff Dalton, Zhenghua Li, Aneesh Sharma, Jimmy Lin:
Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture. CoRR abs/1210.7350 (2012)
2000 – 2009
- 2009
- [j2]Sreenivas Gollapudi, Aneesh Sharma:
An Axiomatic Framework for Result Diversification. IEEE Data Eng. Bull. 32(4): 7-14 (2009) - [j1]Aneesh Sharma, Sicco Verwer:
Solution to exchanges 7.3 puzzle: product adoption in a social network. SIGecom Exch. 8(1) (2009) - [c3]David Arthur, Rajeev Motwani, Aneesh Sharma, Ying Xu:
Pricing Strategies for Viral Marketing on Social Networks. WINE 2009: 101-112 - [c2]Sreenivas Gollapudi, Aneesh Sharma:
An axiomatic approach for result diversification. WWW 2009: 381-390 - [i1]David Arthur, Rajeev Motwani, Aneesh Sharma, Ying Xu:
Pricing strategies for viral marketing on Social Networks. CoRR abs/0902.3485 (2009) - 2007
- [c1]Christoph Aschwanden, Craig Cornelius, Lawrence Burgess, Kevin Montgomery, Aneesh Sharma:
Centralized Data Recording for a Distributed Surgical Skills Trainer to Facilitate Automated Proficiency Evaluation. MMVR 2007: 28-30
Coauthor Index
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