| 2009 | ||
|---|---|---|
| 20 | Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, Vanja Josifovski, Rajiv Khanna: Translating relevance scores to probabilities for contextual advertising. CIKM 2009: 1899-1902 | |
| 19 | Yashar Moshfeghi, Deepak Agarwal, Benjamin Piwowarski, Joemon M. Jose: Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering. ECIR 2009: 54-65 | |
| 18 | Deepak Agarwal, Bee-Chung Chen: Regression-based latent factor models. KDD 2009: 19-28 | |
| 17 | Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon: A spatio-temporal approach to collaborative filtering. RecSys 2009: 13-20 | |
| 16 | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango: Spatio-temporal models for estimating click-through rate. WWW 2009: 21-30 | |
| 2008 | ||
| 15 | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Nitin Motgi, Seung-Taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah: Online Models for Content Optimization. NIPS 2008: 17-24 | |
| 14 | Liang Zhang, Deepak Agarwal: Fast Computation of Posterior Mode in Multi-Level Hierarchical Models. NIPS 2008: 1913-1920 | |
| 13 | Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifovski: Contextual advertising by combining relevance with click feedback. WWW 2008: 417-426 | |
| 2007 | ||
| 12 | Dhiman Barman, Flip Korn, Divesh Srivastava, Dimitrios Gunopulos, Neal E. Young, Deepak Agarwal: Parsimonious Explanations of Change in Hierarchical Data. ICDE 2007: 1273-1275 | |
| 11 | Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarwal: Multi-armed bandit problems with dependent arms. ICML 2007: 721-728 | |
| 10 | Neeta Nain, Vijay Laxmi, Manish Khandelwal, Deepak Agarwal, Dushyant Singh Rao, Pawan Kumar Verma: Transformation Invariant Robust Shape Analysis. IPCV 2007: 275-281 | |
| 9 | Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian: Estimating rates of rare events at multiple resolutions. KDD 2007: 16-25 | |
| 8 | Deepak Agarwal, Srujana Merugu: Predictive discrete latent factor models for large scale dyadic data. KDD 2007: 26-35 | |
| 7 | Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava: Efficient and effective explanation of change in hierarchical summaries. KDD 2007: 6-15 | |
| 6 | Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski: Bandits for Taxonomies: A Model-based Approach. SDM 2007 | |
| 5 | Deepak Agarwal: Detecting anomalies in cross-classified streams: a Bayesian approach. Knowl. Inf. Syst. 11(1): 29-44 (2007) | |
| 2006 | ||
| 4 | Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu: Spatial scan statistics: approximations and performance study. KDD 2006: 24-33 | |
| 3 | Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian: The hunting of the bump: on maximizing statistical discrepancy. SODA 2006: 1137-1146 | |
| 2005 | ||
| 2 | Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian: The Hunting of the Bump: On Maximizing Statistical Discrepancy CoRR abs/cs/0510004: (2005) | |
| 1 | Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert M. Bell, Mazin Gilbert, Deborah F. Swayne, Chris Volinsky: Mining Customer Care Dialogs for "Daily News". IEEE Transactions on Speech and Audio Processing 13(5-1): 652-660 (2005) | |