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Publications of Author

1. Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu
   Spatial scan statistics: approximations and performance study. [Citation Graph (0, 0)][DBLP]
   KDD, 2006, pp:24-33 [Conf]
   
2. Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
   The hunting of the bump: on maximizing statistical discrepancy. [Citation Graph (0, 0)][DBLP]
   SODA, 2006, pp:1137-1146 [Conf]
   
3. Deepak Agarwal
   Detecting anomalies in cross-classified streams: a Bayesian approach. [Citation Graph (0, 0)][DBLP]
   Knowl. Inf. Syst., 2007, v:11, n:1, pp:29-44 [Journal]
   
4. Dhiman Barman, Flip Korn, Divesh Srivastava, Dimitrios Gunopulos, Neal E. Young, Deepak Agarwal
   Parsimonious Explanations of Change in Hierarchical Data. [Citation Graph (0, 0)][DBLP]
   ICDE, 2007, pp:1273-1275 [Conf]
   
5. Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarwal
   Multi-armed bandit problems with dependent arms. [Citation Graph (0, 0)][DBLP]
   ICML, 2007, pp:721-728 [Conf]
   
6. Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian
   Estimating rates of rare events at multiple resolutions. [Citation Graph (0, 0)][DBLP]
   KDD, 2007, pp:16-25 [Conf]
   
7. Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava
   Efficient and effective explanation of change in hierarchical summaries. [Citation Graph (0, 0)][DBLP]
   KDD, 2007, pp:6-15 [Conf]
   
8. Deepak Agarwal, Srujana Merugu
   Predictive discrete latent factor models for large scale dyadic data. [Citation Graph (0, 0)][DBLP]
   KDD, 2007, pp:26-35 [Conf]
   
9. Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski
   Bandits for Taxonomies: A Model-based Approach. [Citation Graph (0, 0)][DBLP]
   SDM, 2007, pp:- [Conf]
   
10. 
    Translating relevance scores to probabilities for contextual advertising. [Citation Graph (, )][DBLP]
    
    
11. 
    Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering. [Citation Graph (, )][DBLP]
    
    
12. 
    Explore/Exploit Schemes for Web Content Optimization. [Citation Graph (, )][DBLP]
    
    
13. 
    Regression-based latent factor models. [Citation Graph (, )][DBLP]
    
    
14. 
    Estimating rates of rare events with multiple hierarchies through scalable log-linear models. [Citation Graph (, )][DBLP]
    
    
15. 
    Fast online learning through offline initialization for time-sensitive recommendation. [Citation Graph (, )][DBLP]
    
    
16. 
    Fast Computation of Posterior Mode in Multi-Level Hierarchical Models. [Citation Graph (, )][DBLP]
    
    
17. 
    Online Models for Content Optimization. [Citation Graph (, )][DBLP]
    
    
18. 
    Forecasting high-dimensional data. [Citation Graph (, )][DBLP]
    
    
19. 
    Contextual advertising by combining relevance with click feedback. [Citation Graph (, )][DBLP]
    
    
20. 
    Spatio-temporal models for estimating click-through rate. [Citation Graph (, )][DBLP]
    
    
21. 
    Transformation Invariant Robust Shape Analysis. [Citation Graph (, )][DBLP]
    
    
22. 
    A spatio-temporal approach to collaborative filtering. [Citation Graph (, )][DBLP]
    
    
23. 
    fLDA: matrix factorization through latent dirichlet allocation. [Citation Graph (, )][DBLP]
    
    
24. 
    The Hunting of the Bump: On Maximizing Statistical Discrepancy [Citation Graph (, )][DBLP]