Bhargav Kanagal

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I work at Google. I was previously at Yahoo! Research. I completed my Ph.D in Computer Science at the University of Maryland, College Park, working under the guidance of Dr. Amol Deshpande. My dissertation research was on building systems for managing uncertain data. Earlier, I graduated from Indian Institute of Technology Madras with a B.Tech in Computer Science.

Email: bhargav AT cs DOT umd DOT edu

Publications:

(9) Latent Factor Models with Additive Hierarchically-smoothed Preferences. Amr Ahmed, Bhargav Kanagal, Sandeep Pandey, Vanja Josifovski, Lluis Garcia, Jeff Yuan. WSDM 2013.

(8) Focused Matrix Factorization For Audience Selection in Display Advertising.
Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia, Jeff Yuan. ICDE 2013.

(7) Supercharging Recommender Systems using Taxonomies For Learning User Purchase Behavior. Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia, Jeff Yuan. VLDB 2012. Preprint [pdf]

(6) Sensitivity Analysis and Explanations for Robust Query Evaluation in Probabilistic Databases. Bhargav Kanagal, Jian Li, Amol Deshpande. In SIGMOD 2011. conference paper[pdf], presentation[pptx]

(5) Rank Selection in Low-rank Matrix Approximations: A Study of Cross-Validation for NMFs. Bhargav Kanagal, Vikas Sindhwani. Low-rank Methods for Large-scale Machine Learning, NIPS 2010. Preprint [pdf]

(4) Lineage Processing over Correlated Probabilistic databases. Bhargav Kanagal, Amol Deshpande. SIGMOD 2010. conference paper [pdf], presentation [pptx]

(3) Indexing Correlated Probabilistic databases. Bhargav Kanagal, Amol Deshpande. SIGMOD 2009. conference paper [pdf], presentation [pptx]

(2) Efficient Query Evaluation over Temporally Correlated Probabilistic Streams. Bhargav Kanagal, Amol Deshpande. ICDE 2009. (Short paper). Link to technical report (CS-TR-4916) [pdf], conference paper [pdf], poster [pdf]

(1) Online Filtering, Smoothing and Probabilistic Modeling of Streaming Data. Bhargav Kanagal, Amol Deshpande. ICDE 2008. Link to technical report (CS-TR-4867) [link], conference paper [pdf], presentation [pptx]