Bhargav Kanagal
Bhargav Kanagal
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Title
Cited by
Cited by
Year
Online filtering, smoothing and probabilistic modeling of streaming data
B Kanagal, A Deshpande
2008 IEEE 24th International Conference on Data Engineering, 1160-1169, 2008
1842008
A generic coordinate descent framework for learning from implicit feedback
I Bayer, X He, B Kanagal, S Rendle
Proceedings of the 26th International Conference on World Wide Web, 1341-1350, 2017
1422017
Supercharging recommender systems using taxonomies for learning user purchase behavior
B Kanagal, A Ahmed, S Pandey, V Josifovski, J Yuan, L Garcia-Pueyo
arXiv preprint arXiv:1207.0136, 2012
832012
Sensitivity analysis and explanations for robust query evaluation in probabilistic databases
B Kanagal, J Li, A Deshpande
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
792011
Latent factor models with additive and hierarchically-smoothed user preferences
A Ahmed, B Kanagal, S Pandey, V Josifovski, LG Pueyo, J Yuan
Proceedings of the sixth ACM international conference on Web search and data …, 2013
482013
Indexing correlated probabilistic databases
B Kanagal, A Deshpande
Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009
462009
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams
B Kanagal, A Deshpande
Data Engineering, 2009. ICDE'09. IEEE 25th International Conference on, 1315 …, 2009
412009
Lineage processing over correlated probabilistic databases
B Kanagal, A Deshpande
Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010
402010
Rank selection in low-rank matrix approximations: A study of cross-validation for nmfs
B Kanagal, V Sindhwani
Proc Conf Adv Neural Inf Process 1, 10-15, 2010
342010
Focused matrix factorization for audience selection in display advertising
B Kanagal, A Ahmed, S Pandey, V Josifovski, L Garcia-Pueyo, J Yuan
2013 IEEE 29th International Conference on Data Engineering (ICDE), 386-397, 2013
252013
Recommendations for all: Solving thousands of recommendation problems daily
B Kanagal, S Tata
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1404-1413, 2018
32018
Efficient query evaluation on temporally correlated probabilistic streams
B Kanagal, A Deshpande
University of Maryland, Technical Report CS-TR-4916, http://www. cs. umd …, 0
2
RealFormer: Transformer Likes Residual Attention
R He, A Ravula, B Kanagal, J Ainslie
arXiv e-prints, arXiv: 2012.11747, 2020
12020
Constructing a comprehensive events database from the web
Q Wang, B Kanagal, V Garg, D Sivakumar
Proceedings of the 28th ACM International Conference on Information and …, 2019
12019
Focused matrix factorization for audience selection in display advertising
J Yuan, B Kanagal, V Josifovski, L Garcia-Pueyo, A Ahmed, S Pandey
Interaction 12 (4), 331-370, 2002
12002
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections
Y Zemlyanskiy, S Gandhe, R He, B Kanagal, A Ravula, J Gottweis, F Sha, ...
arXiv preprint arXiv:2102.13247, 2021
2021
Informer: Transformer Likes Informed Attention
R He, A Ravula, B Kanagal, J Ainslie
arXiv preprint arXiv:2012.11747, 2020
2020
Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach
Q Wang, L Yang, B Kanagal, S Sanghai, D Sivakumar, B Shu, Z Yu, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
2020
Scalable statistical modeling and query processing over large scale uncertain databases
B Kanagal Shamanna
2011
Bhargav Kanagal
B Kanagal, S Pandey, V Josifovski, L Garcia
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