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ORCIDBhargav Kanagal
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Journal Articles
- 2012
[j1]Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeffrey Yuan, Lluis Garcia Pueyo:
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior. Proc. VLDB Endow. 5(10): 956-967 (2012)
Conference and Workshop Papers
- 2024
- [c15]Ying Sheng, Sudeep Gandhe, Bhargav Kanagal, Nick Edmonds, Zachary Fisher, Sandeep Tata, Aarush Selvan:
Measuring an LLM's Proficiency at using APIs: A Query Generation Strategy. KDD 2024: 5680-5689 - 2022
- [c14]Li Yang, Qifan Wang, Zac Yu
, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal:
MAVE: A Product Dataset for Multi-source Attribute Value Extraction. WSDM 2022: 1256-1265 - 2021
- [c13]Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie:
RealFormer: Transformer Likes Residual Attention. ACL/IJCNLP (Findings) 2021: 929-943 - [c12]Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein:
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. EACL 2021: 2540-2549 - 2020
- [c11]Qifan Wang, Li Yang, Bhargav Kanagal, Sumit Sanghai, D. Sivakumar, Bin Shu, Zac Yu, Jon Elsas:
Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach. KDD 2020: 47-55 - 2019
- [c10]Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar:
Constructing a Comprehensive Events Database from the Web. CIKM 2019: 229-238 - 2018
- [c9]Bhargav Kanagal, Sandeep Tata:
Recommendations for All: Solving Thousands of Recommendation Problems Daily. ICDE 2018: 1404-1413 - 2017
- [c8]Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle:
A Generic Coordinate Descent Framework for Learning from Implicit Feedback. WWW 2017: 1341-1350 - 2013
- [c7]Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan:
Focused matrix factorization for audience selection in display advertising. ICDE 2013: 386-397 - [c6]Amr Ahmed, Bhargav Kanagal, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan:
Latent factor models with additive and hierarchically-smoothed user preferences. WSDM 2013: 385-394 - 2011
- [c5]Bhargav Kanagal, Jian Li, Amol Deshpande:
Sensitivity analysis and explanations for robust query evaluation in probabilistic databases. SIGMOD Conference 2011: 841-852 - 2010
- [c4]Bhargav Kanagal, Amol Deshpande:
Lineage processing over correlated probabilistic databases. SIGMOD Conference 2010: 675-686 - 2009
- [c3]Bhargav Kanagal, Amol Deshpande:
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams. ICDE 2009: 1315-1318 - [c2]Bhargav Kanagal, Amol Deshpande:
Indexing correlated probabilistic databases. SIGMOD Conference 2009: 455-468 - 2008
- [c1]Bhargav Kanagal, Amol Deshpande:
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data. ICDE 2008: 1160-1169
Informal and Other Publications
- 2022
- [i7]Luke Vilnis, Zachary Fisher, Bhargav Kanagal, Patrick Murray, Sumit Sanghai:
ImPaKT: A Dataset for Open-Schema Knowledge Base Construction. CoRR abs/2212.10770 (2022) - 2021
- [i6]Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein:
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. CoRR abs/2102.13247 (2021) - [i5]Gurmeet Manku, James Lee-Thorp, Bhargav Kanagal, Joshua Ainslie, Jingchen Feng, Zach Pearson, Ebenezer Anjorin, Sudeep Gandhe, Ilya Eckstein, Jim Rosswog, Sumit Sanghai, Michael Pohl, Larry Adams, D. Sivakumar:
ShopTalk: A System for Conversational Faceted Search. CoRR abs/2109.00702 (2021) - [i4]Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal:
MAVE: A Product Dataset for Multi-source Attribute Value Extraction. CoRR abs/2112.08663 (2021) - 2020
- [i3]Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie:
RealFormer: Transformer Likes Residual Attention. CoRR abs/2012.11747 (2020) - 2016
- [i2]Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle:
A Generic Coordinate Descent Framework for Learning from Implicit Feedback. CoRR abs/1611.04666 (2016) - 2012
- [i1]Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeffrey Yuan, Lluis Garcia Pueyo:
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior. CoRR abs/1207.0136 (2012)
Coauthor Index
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