Aneesh Sharma

41 papers A* 8A 3B 1C 1Journal 19Unranked 8
YearRankTypeTitle / Venue / Authors
2024 A* conf
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity.
KDD
Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
2024 J jnl
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity.
CoRR
Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
2023 A* conf
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities.
KDD
Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang
2023 J jnl
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities.
CoRR
Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang
2023 A conf
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion.
AISTATS
Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
2023 J jnl
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion.
CoRR
Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
2022 A conf
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling.
SDM
Andrew Stolman, Caleb C. Levy, C. Seshadhri, Aneesh Sharma
2022 J jnl
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling.
CoRR
Andrew Stolman, Caleb C. Levy, C. Seshadhri, Aneesh Sharma
2020 A conf
An Experimental Study of Structural Diversity in Social Networks.
ICWSM
Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel
2020 A* conf
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew.
WWW
Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff
2020 J jnl
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew.
CoRR
Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff
2020 J jnl
The impossibility of low rank representations for triangle-rich complex networks.
CoRR
C. Seshadhri, Aneesh Sharma, Andrew Stolman, Ashish Goel
2020 J jnl
The impossibility of low-rank representations for triangle-rich complex networks.
Proc. Natl. Acad. Sci. USA
C. Seshadhri, Aneesh Sharma, Andrew Stolman, Ashish Goel
2019 J jnl
An Experimental Study of Structural Diversity in Social Networks.
CoRR
Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel
2017 A* conf
Cascades: A View from Audience.
WWW
Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma
2017 J jnl
Cascades: A view from Audience.
CoRR
Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma
2017 — conf
Detecting Strong Ties Using Network Motifs.
WWW (Companion Volume)
Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma
2017 J jnl
Detecting Strong Ties Using Network Motifs.
CoRR
Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma
2017 A* conf
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors.
WWW
Aneesh Sharma, C. Seshadhri, Ashish Goel
2017 J jnl
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors.
CoRR
Aneesh Sharma, C. Seshadhri, Ashish Goel
2016 J jnl
GraphJet: Real-Time Content Recommendations at Twitter.
Proc. VLDB Endow.
Aneesh Sharma, Jerry Jiang, Praveen Bommannavar, Brian Larson, Jimmy Lin
2016 J jnl
Steganographic access control in data hiding using run-length encoding and modulo-operations.
Secur. Commun. Networks
Chin-Feng Lee, Chi-Yao Weng, Aneesh Sharma
2016 A* conf
The Effect of Recommendations on Network Structure.
WWW
Jessica Su, Aneesh Sharma, Sharad Goel
2015 C conf
A Note on Modeling Retweet Cascades on Twitter.
WAW
Ashish Goel, Kamesh Munagala, Aneesh Sharma, Hongyang Zhang
2015 J jnl
Preventing Unraveling in Social Networks: The Anchored k-Core Problem.
SIAM J. Discret. Math.
Kshipra Bhawalkar, Jon M. Kleinberg, Kevin Lewi, Tim Roughgarden, Aneesh Sharma
2015 — ed.
Proceedings of the 2015 ACM on Conference on Online Social Networks, COSN 2015, Palo Alto, California, USA, November 2-3, 2015
COSN
Aneesh Sharma, Rakesh Agrawal, Matthias Grossglauser
2015 J jnl
The Who-To-Follow System at Twitter: Strategy, Algorithms, and Revenue Impact.
Interfaces
Ashish Goel, Pankaj Gupta, John Sirois, Dong Wang, Aneesh Sharma, Siva Gurumurthy
2014 — conf
Information network or social network?: the structure of the twitter follow graph.
WWW (Companion Volume)
Seth A. Myers, Aneesh Sharma, Pankaj Gupta, Jimmy Lin
2014 B conf
Robust sampling-based trajectory tracking for autonomous vehicles.
SMC
Aneesh Sharma, Camilo Ordonez, Emmanuel G. Collins Jr.
2013 — conf
Fast data in the era of big data: Twitter's real-time related query suggestion architecture.
SIGMOD Conference
Gilad Mishne, Jeff Dalton, Zhenghua Li, Aneesh Sharma, Jimmy Lin
2013 — conf
On the precision of social and information networks.
COSN
Reza Bosagh Zadeh, Ashish Goel, Kamesh Munagala, Aneesh Sharma
2013 A* conf
WTF: the who to follow service at Twitter.
WWW
Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, Reza Zadeh
2012 J jnl
Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture
CoRR
Gilad Mishne, Jeff Dalton, Zhenghua Li, Aneesh Sharma, Jimmy Lin
2012 — conf
Preventing Unraveling in Social Networks: The Anchored k-Core Problem.
ICALP (2)
Kshipra Bhawalkar, Jon M. Kleinberg, Kevin Lewi, Tim Roughgarden, Aneesh Sharma
2012 — conf
Sampling-Based Direct Trajectory Generation Using the Minimum Time Cost Function.
ISER
Oscar Chuy, Emmanuel G. Collins Jr., Damion D. Dunlap, Aneesh Sharma
2009 J jnl
An Axiomatic Framework for Result Diversification.
IEEE Data Eng. Bull.
Sreenivas Gollapudi, Aneesh Sharma
2009 A* conf
An axiomatic approach for result diversification.
WWW
Sreenivas Gollapudi, Aneesh Sharma
2009 — conf
Pricing Strategies for Viral Marketing on Social Networks.
WINE
David Arthur, Rajeev Motwani, Aneesh Sharma, Ying Xu
2009 J jnl
Pricing strategies for viral marketing on Social Networks
CoRR
David Arthur, Rajeev Motwani, Aneesh Sharma, Ying Xu
2009 J jnl
Solution to exchanges 7.3 puzzle: product adoption in a social network.
SIGecom Exch.
Aneesh Sharma, Sicco Verwer
2007 — conf
Centralized Data Recording for a Distributed Surgical Skills Trainer to Facilitate Automated Proficiency Evaluation.
MMVR
Christoph Aschwanden, Craig Cornelius, Lawrence Burgess, Kevin Montgomery, Aneesh Sharma