Aneesh Sharma

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 22

Top Topics

Complex Networks

High Similarity

Multitask Learning

Top Venues

WWW (Companion Volume)

Publications

Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity. KDD (2024)
Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. KDD (2023)
Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. CoRR (2023)
Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. CoRR (2023)
Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. AISTATS (2023)
Andrew Stolman, Caleb Levy, C. Seshadhri, Aneesh Sharma
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling. CoRR (2022)
Andrew Stolman, Caleb Levy, C. Seshadhri, Aneesh Sharma
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling. SDM (2022)
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) (2020)
Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew. CoRR (2020)
Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew. WWW (2020)
C. Seshadhri, Aneesh Sharma, Andrew Stolman, Ashish Goel
The impossibility of low rank representations for triangle-rich complex networks. CoRR (2020)
Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel
An Experimental Study of Structural Diversity in Social Networks. ICWSM (2020)
Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel
An Experimental Study of Structural Diversity in Social Networks. CoRR (2019)
Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma
Detecting Strong Ties Using Network Motifs. CoRR (2017)
Aneesh Sharma, C. Seshadhri, Ashish Goel
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors. WWW (2017)
Aneesh Sharma, C. Seshadhri, Ashish Goel
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors. CoRR (2017)
Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma
Cascades: A View from Audience. WWW (2017)
Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma
Detecting Strong Ties Using Network Motifs. WWW (Companion Volume) (2017)
Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma
Cascades: A view from Audience. CoRR (2017)
Aneesh Sharma, Jerry Jiang, Praveen Bommannavar, Brian Larson, Jimmy Lin
GraphJet: Real-Time Content Recommendations at Twitter. Proc. VLDB Endow. 9 (13) (2016)
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) (2016)
Jessica Su, Aneesh Sharma, Sharad Goel
The Effect of Recommendations on Network Structure. WWW (2016)
Ashish Goel, Kamesh Munagala, Aneesh Sharma, Hongyang Zhang
A Note on Modeling Retweet Cascades on Twitter. WAW (2015)
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) (2015)
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) (2015)
Aneesh Sharma, Camilo Ordonez, Emmanuel G. Collins Jr.
Robust sampling-based trajectory tracking for autonomous vehicles. SMC (2014)
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)
Reza Bosagh Zadeh, Ashish Goel, Kamesh Munagala, Aneesh Sharma
On the precision of social and information networks. COSN (2013)
Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, Reza Zadeh
WTF: the who to follow service at Twitter. WWW (2013)
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)
Oscar Chuy, Emmanuel G. Collins Jr., Damion D. Dunlap, Aneesh Sharma
Sampling-Based Direct Trajectory Generation Using the Minimum Time Cost Function. ISER (2012)
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 (2012)
Kshipra Bhawalkar, Jon M. Kleinberg, Kevin Lewi, Tim Roughgarden, Aneesh Sharma
Preventing Unraveling in Social Networks: The Anchored k-Core Problem. ICALP (2) (2012)
David Arthur, Rajeev Motwani, Aneesh Sharma, Ying Xu
Pricing Strategies for Viral Marketing on Social Networks. WINE (2009)
David Arthur, Rajeev Motwani, Aneesh Sharma, Ying Xu
Pricing strategies for viral marketing on Social Networks CoRR (2009)
Sreenivas Gollapudi, Aneesh Sharma
An Axiomatic Framework for Result Diversification. IEEE Data Eng. Bull. 32 (4) (2009)
Sreenivas Gollapudi, Aneesh Sharma
An axiomatic approach for result diversification. WWW (2009)
Aneesh Sharma, Sicco Verwer
Solution to exchanges 7.3 puzzle: product adoption in a social network. SIGecom Exch. 8 (1) (2009)
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)