Online Filtering, Smoothing and Probabilistic Modeling of Streaming data. - Bhargav Kanagal; Amol Deshpande (ICDE, 2008)

Efficient Query Evaluation over Temporally Correlated Probabilistic Streams. - Bhargav Kanagal; Amol Deshpande (ICDE, 2009)

Indexing correlated probabilistic databases. - Bhargav Kanagal; Amol Deshpande (SIGMOD Conference, 2009)

Lineage processing over correlated probabilistic databases. - Bhargav Kanagal; Amol Deshpande (SIGMOD Conference, 2010)

Sensitivity analysis and explanations for robust query evaluation in probabilistic databases. - Bhargav Kanagal; Jian Li 015; Amol Deshpande (SIGMOD Conference, 2011)

Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior. - Bhargav Kanagal; Amr Ahmed 001; Sandeep Pandey; Vanja Josifovski; Jeffrey Yuan; Lluis Garcia Pueyo (Proc. VLDB Endow., 2012)

Focused matrix factorization for audience selection in display advertising. - Bhargav Kanagal; Amr Ahmed 001; Sandeep Pandey; Vanja Josifovski; Lluis Garcia Pueyo; Jeffrey Yuan (ICDE, 2013)

Latent factor models with additive and hierarchically-smoothed user preferences. - Amr Ahmed 001; Bhargav Kanagal; Sandeep Pandey; Vanja Josifovski; Lluis Garcia Pueyo; Jeffrey Yuan (WSDM, 2013)

A Generic Coordinate Descent Framework for Learning from Implicit Feedback. - Immanuel Bayer; Xiangnan He 001; Bhargav Kanagal; Steffen Rendle (WWW, 2017)

Recommendations for All: Solving Thousands of Recommendation Problems Daily. - Bhargav Kanagal; Sandeep Tata (ICDE, 2018)

Constructing a Comprehensive Events Database from the Web. - Qifan Wang 001; Bhargav Kanagal; Vijay Garg; D. Sivakumar 001 (CIKM, 2019)

Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach. - Qifan Wang 001; Li Yang; Bhargav Kanagal; Sumit Sanghai; D. Sivakumar 001; Bin Shu; Zac Yu; Jon Elsas (KDD, 2020)

RealFormer: Transformer Likes Residual Attention. - Ruining He; Anirudh Ravula; Bhargav Kanagal; Joshua Ainslie (ACL/IJCNLP (Findings), 2021)

DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. - Yury Zemlyanskiy; Sudeep Gandhe; Ruining He; Bhargav Kanagal; Anirudh Ravula; Juraj Gottweis; Fei Sha; Ilya Eckstein (EACL, 2021)

ShopTalk: A System for Conversational Faceted Search. - 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; et al. (CoRR, 2021)

MAVE: A Product Dataset for Multi-source Attribute Value Extraction. - Li Yang; Qifan Wang 001; Zac Yu; Anand Kulkarni; Sumit Sanghai; Bin Shu; Jon Elsas; Bhargav Kanagal (WSDM, 2022)

ImPaKT: A Dataset for Open-Schema Knowledge Base Construction. - Luke Vilnis; Zachary Fisher; Bhargav Kanagal; Patrick Murray; Sumit Sanghai (CoRR, 2022)

Measuring an LLM's Proficiency at using APIs: A Query Generation Strategy. - Ying Sheng 002; Sudeep Gandhe; Bhargav Kanagal; Nick Edmonds; Zachary Fisher; Sandeep Tata; Aarush Selvan (KDD, 2024)