Deepak Agarwal

Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang: Multi-faceted ranking of news articles using post-read actions. CIKM 2012: 694-703

Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang: Personalized click shaping through lagrangian duality for online recommendation. SIGIR 2012: 485-494

Yandong Liu, Sandeep Pandey, Deepak Agarwal, Vanja Josifovski: Finding the right consumer: optimizing for conversion in display advertising campaigns. WSDM 2012: 473-482

Deepak Agarwal, Maxim Gurevich: Fast top-k retrieval for model based recommendation. WSDM 2012: 483-492

Deepak Agarwal, Sandeep Pandey, Vanja Josifovski: Targeting converters for new campaigns through factor models. WWW 2012: 101-110

Qiang Yang, Deepak Agarwal, Jian Pei (Eds.): The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012. ACM 2012, isbn 978-1-4503-1462-6

Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen: Parallel Matrix Factorization for Binary Response. CoRR abs/1203.5124 (2012)

Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang: Multi-Faceted Ranking of News Articles using Post-Read Actions. CoRR abs/1205.0591 (2012)

Deepak Agarwal: Discussion of "Learning Scale Free Networks by Reweighted L1 regularization". Journal of Machine Learning Research - Proceedings Track 15: 49-50 (2011)

Deepak Agarwal, Lihong Li, Alexander J. Smola: Linear-Time Estimators for Propensity Scores. Journal of Machine Learning Research - Proceedings Track 15: 93-100 (2011)

Deepak Agarwal, Bee-Chung Chen, Bo Pang: Personalized Recommendation of User Comments via Factor Models. EMNLP 2011: 571-582

Yucheng Low, Deepak Agarwal, Alexander J. Smola: Multiple domain user personalization. KDD 2011: 123-131

Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang: Click shaping to optimize multiple objectives. KDD 2011: 132-140

Aditya Krishna Menon, Krishna Prasad Chitrapura, Sachin Garg, Deepak Agarwal, Nagaraj Kota: Response prediction using collaborative filtering with hierarchies and side-information. KDD 2011: 141-149

Deepak Agarwal, Bee-Chung Chen, Bo Long: Localized factor models for multi-context recommendation. KDD 2011: 609-617

Nagaraj Kota, Deepak Agarwal: Temporal multi-hierarchy smoothing for estimating rates of rare events. KDD 2011: 1361-1369

Liang Zhang, Deepak Agarwal, Bee-Chung Chen: Generalizing matrix factorization through flexible regression priors. RecSys 2011: 13-20

Deepak Agarwal, Bee-Chung Chen: Latent OLAP: data cubes over latent variables. SIGMOD Conference 2011: 877-888

Deepak Agarwal, Rahul Agrawal, Rajiv Khanna, Nagaraj Kota: Estimating rates of rare events with multiple hierarchies through scalable log-linear models. KDD 2010: 213-222

Deepak Agarwal, Bee-Chung Chen, Pradheep Elango: Fast online learning through offline initialization for time-sensitive recommendation. KDD 2010: 703-712

Deepak Agarwal, Datong Chen, Long-ji Lin, Jayavel Shanmugasundaram, Erik Vee: Forecasting high-dimensional data. SIGMOD Conference 2010: 1003-1012

Deepak Agarwal, Bee-Chung Chen: fLDA: matrix factorization through latent dirichlet allocation. WSDM 2010: 91-100

Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, Vanja Josifovski, Rajiv Khanna: Translating relevance scores to probabilities for contextual advertising. CIKM 2009: 1899-1902

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

Deepak Agarwal, Bee-Chung Chen, Pradheep Elango: Explore/Exploit Schemes for Web Content Optimization. ICDM 2009: 1-10

Deepak Agarwal, Bee-Chung Chen: Regression-based latent factor models. KDD 2009: 19-28

Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon: A spatio-temporal approach to collaborative filtering. RecSys 2009: 13-20

Deepak Agarwal, Bee-Chung Chen, Pradheep Elango: Spatio-temporal models for estimating click-through rate. WWW 2009: 21-30

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

Liang Zhang, Deepak Agarwal: Fast Computation of Posterior Mode in Multi-Level Hierarchical Models. NIPS 2008: 1913-1920

Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifovski: Contextual advertising by combining relevance with click feedback. WWW 2008: 417-426

Deepak Agarwal: Detecting anomalies in cross-classified streams: a Bayesian approach. Knowl. Inf. Syst. 11(1): 29-44 (2007)

Dhiman Barman, Flip Korn, Divesh Srivastava, Dimitrios Gunopulos, Neal E. Young, Deepak Agarwal: Parsimonious Explanations of Change in Hierarchical Data. ICDE 2007: 1273-1275

Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarwal: Multi-armed bandit problems with dependent arms. ICML 2007: 721-728

Neeta Nain, Vijay Laxmi, Manish Khandelwal, Deepak Agarwal, Dushyant Singh Rao, Pawan Kumar Verma: Transformation Invariant Robust Shape Analysis. IPCV 2007: 275-281

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

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

Deepak Agarwal, Srujana Merugu: Predictive discrete latent factor models for large scale dyadic data. KDD 2007: 26-35

Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski: Bandits for Taxonomies: A Model-based Approach. SDM 2007

Li Wang, Matthew French, Azadeh Davoodi, Deepak Agarwal: FPGA Dynamic Power Minimization through Placement and Routing Constraints. EURASIP J. Emb. Sys. 2006 (2006)

Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu: Spatial scan statistics: approximations and performance study. KDD 2006: 24-33

Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian: The hunting of the bump: on maximizing statistical discrepancy. SODA 2006: 1137-1146

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)

Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian: The Hunting of the Bump: On Maximizing Statistical Discrepancy. CoRR abs/cs/0510004 (2005)

Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert M. Bell, Mazin G. Rahim, Deborah F. Swayne, Chris Volinsky: Mining customer care dialogs for "daily news". INTERSPEECH 2004