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Deepak Agarwal: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

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]


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