Bhargav Kanagal

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 14

Top Topics

Numeric Attributes

Implicit Feedback

Query Generation

Top Venues

Publications

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)
Luke Vilnis, Zachary Fisher, Bhargav Kanagal, Patrick Murray, Sumit Sanghai
ImPaKT: A Dataset for Open-Schema Knowledge Base Construction. CoRR (2022)
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)
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)
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 (2021)
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 (2021)
Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie
RealFormer: Transformer Likes Residual Attention. ACL/IJCNLP (Findings) (2021)
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 (2021)
Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie
RealFormer: Transformer Likes Residual Attention. CoRR (2020)
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)
Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar
Constructing a Comprehensive Events Database from the Web. CIKM (2019)
Bhargav Kanagal, Sandeep Tata
Recommendations for All: Solving Thousands of Recommendation Problems Daily. ICDE (2018)
Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle
A Generic Coordinate Descent Framework for Learning from Implicit Feedback. WWW (2017)
Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle
A Generic Coordinate Descent Framework for Learning from Implicit Feedback. CoRR (2016)
Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan
Focused matrix factorization for audience selection in display advertising. ICDE (2013)
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)
Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeffrey Yuan, Lluis Garcia Pueyo
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior CoRR (2012)
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) (2012)
Bhargav Kanagal, Jian Li, Amol Deshpande
Sensitivity analysis and explanations for robust query evaluation in probabilistic databases. SIGMOD Conference (2011)
Bhargav Kanagal, Amol Deshpande
Lineage processing over correlated probabilistic databases. SIGMOD Conference (2010)
Bhargav Kanagal, Amol Deshpande
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams. ICDE (2009)
Bhargav Kanagal, Amol Deshpande
Indexing correlated probabilistic databases. SIGMOD Conference (2009)
Bhargav Kanagal, Amol Deshpande
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data. ICDE (2008)